Abstract: Methods for quantitatively determining the time (TNI) between (1) the application of this method and (2) the time at which the next out-of-service API 653 internal inspection of a steel, field-erected, aboveground storage tank (AST) containing petroleum/water products should be performed. These methods combine four in-service measurements of the thickness, integrity, and corrosion rate of the tank bottom with an empirical corrosion rate cumulative frequency distribution (CFD) for the tank of interest to develop a Bayesian tank bottom survival probability distribution to determine TNI. During this entire TNI time period, the risk of tank bottom failure is less than at the time these methods were applied. If available, the results of a previous out-of-service API 653 internal inspection are also used. These methods can be applied at any time while the tank is in-service to update the internal inspection interval previously determined in an out-of-service internal inspection of the tank.

Abstract: A control system and method for operating an articulating header of a combine harvester in a failsafe mode. The method includes monitoring the articulating header, alerting a user when a fault condition is detected in the articulating header, and converting the articulating header to a non-articulating header in response to the fault condition so that the combine harvester may be operated in a failsafe mode.

Abstract: Systems, methods, and other embodiments associated with providing long-term predictions for specific maintenance are described. In general, the system or method will: Retrieve a current amount of usage for a component part of a device, a failure probability curve for the component part, and a planned maintenance schedule for the device. Update the failure probability curve based on trends of data obtained from sensors associated with the component part, and causal factors associated with the device. Determine that the likelihood of failure for the component part after a first upcoming planned maintenance and before a second upcoming planned maintenance exceeds a threshold. Generate a work order for specific maintenance on the component part to be performed during the first upcoming planned maintenance. Transmit the work order to cause resources to be timely obtained and labor allocated to perform the specific maintenance during the first upcoming planned maintenance.

Abstract: A system including at least one image acquisition module to acquire images of the environment of the aircraft and of the runway, a module to recognize in the images at least one element representative of at least one contaminant likely to influence the state of the runway, a module to determine at least one property of the contaminant or contaminants and a module to transmit to a user device the property or properties of the contaminant or contaminants. The system allows contaminants to be identified and to be located on the runway or in the environment of the aircraft.

Abstract: Techniques, including systems and methods for monitoring a rotating equipment, are provided. A sensor that is in proximity of the rotating equipment senses vibrations of the rotating equipment. The sensor generates a digital signal corresponding to the vibrations of the rotating equipment and transmits the digital signal over a communication network. A server receives the digital signal and pre-processes the digital signal using ensemble empirical mean decomposition (EEMD) technique. The server processes the digital signal using wavelet neural network (WNN) to detect faults in the rotating equipment. Further, the server processes the digital signal using the wavelet neural network to predict remaining useful life (RUL) of the rotating equipment.

Abstract: A control system includes one or more processors configured to determine when to extend a life span of an engine by applying an additional restorative coating to the engine based on one or more monitored parameters of the engine. The monitored parameters include a condition of a previously applied restorative coating. The one or more processors are configured to determine the condition of the previously applied restorative coating based on an optical response of the previously applied restorative coating. The one or more processors also are configured to direct application of the additional restorative coating based on the one or more monitored parameters of the engine.

Abstract: A method includes confirming when a vehicle accesses a region of interest, obtaining data associated within the region of interest, and determining, based on analytics performed on the data obtained of the region of interest, whether one or more anomalies are present at the region of interest. Obtaining data includes at least one of collecting, with an imaging sensor associated with the vehicle, image data of a given point of interest within the region of interest or collecting, with a motion sensor associated with the vehicle, motion data of the vehicle in a given fragment of interest within the region of interest. The confirming, obtaining and determining steps are performed by at least one processing device comprising a processor operatively coupled to a memory.

Abstract: A computer-implemented method and a system parse and aggregate unstructured data objects. The method includes obtaining the unstructured data objects from description fields of records in a database comprising client tickets that are created for application maintenance, transforming the obtained unstructured data objects to create transformed data objects, identifying a number of criteria attributes of the client tickets, where the number of criteria attributes are determined according to at least part of the transformed data objects, word importance, word sentiment, a user input, or client ticket priorities, or any combinations, and generating a plurality of ticket reports by aggregating the client tickets according to ranking orders of numbers of tickets for the client tickets and the identified criteria attributes.

Abstract: A life prediction apparatus is configured to accurately predict a life of a cable wired at a joint part of a robot. The life prediction apparatus includes a fatigue-level estimation unit for estimating a fatigue level of the cable based on encoder information of an actuator which moves the joint part of the robot, and a life prediction unit for predicting the life of the cable based on a fatigue level of the cable estimated by the fatigue-level estimation unit and an allowable value of the cable.

Abstract: A non-transitory computer readable medium having instructions stored thereon that, when executed by at least one processor, cause the at least one processor to receive road quality data from at least one vehicle in a fleet of vehicles and determine a route for the at least one vehicle in the fleet of vehicles. The road quality data may be gathered by at least one sensor configured to detect autonomous vehicle movements and orientation. The route may avoid a segment of road that is associated with poor road quality data.

Abstract: A method for classifying depth scan data at a computing device includes: obtaining, at the computing device, a set of depth measurements and a graphical representation of the depth measurements; automatically selecting, at the computing device, a subset of the depth measurements indicating a region of interest; rendering, on a display of the computing device, an image including (i) the graphical representation of the depth measurements and (ii) a graphical indication of the region of interest overlaid on the graphical representation of the depth measurements; receiving, via an input device, a selection associated with the image; and generating a region of interest indicator based on the subset of the depth measurements and the selection.

Abstract: A machine tool health monitoring method which is to use a predetermined plurality of vibration sensors on a plurality of components of a machine tool and to drive motors of the machine tool to excite the machine tool using an electronic device while the health status of the machine tool is good, and then to perform a diagnostic process to obtain a characteristic cluster consisting of a plurality of modals, and then to define the characteristic cluster as a sample health characteristic cluster. The diagnostic process includes the procedures of vibration transmissibility obtaining, singular value decomposition, curve fitting and modal establishing. In addition, excite the machine tool and proceed the diagnosis process to obtain a current health characteristic cluster. Finally, the current health characteristic cluster is compared with the sample health characteristic cluster to judge whether the machine tool is healthy or not.

Abstract: A client computing system (CCS) receives a tool measurement from a measurement tool other than by determining the tool measurement from a vehicle data (VD) message. The CCS generates a VD report including a vehicle identifier of a vehicle associated with the tool measurement and the VD report. The VD report can include temporal and/or spatial identifiers pertaining to the tool measurement. The VD report can be provided to a server computing system (SCS) for storage as part of a VD record associated with the vehicle. The CCS that generated the VD report or another CCS can request the VD report from the SCS. The SCS can determine if the requesting CCS is authorized to receive the VD report to maintain the vehicle owner's privacy. The tool measurement can be selected from a service procedure provided to the CCS from SCS and displayed at the CCS.

Abstract: A system and method for predicting remaining lifetime of a component of equipment is provided. The prediction system includes a data module, a feature module, a current data-based prediction module, a historical data-based prediction module, and a confidence module. The data module obtains a test sensor data of the component of equipment. The feature module obtains a historical health indicator and the current-health indicator. The current data-based prediction module obtains a first predicted remaining lifetime and a first prediction confidence according to the current-health indicator. The historical data-based prediction module obtains a second predicted remaining lifetime and a second prediction confidence according to the historical health indicator.

Abstract: A medical fluid delivery system includes: a medical fluid delivery machine including a component having at least one of associated output data or associated test data; at least one of a (i) component output replacement limit and a component output soft limit for the component or (ii) a component testing replacement limit or a component testing soft limit for the component; and a computer programmed to store at least one of (i) or (ii), and for (i) analyze the output data to provide a first indication of how well the component is performing relative to the component output replacement limit and the component output soft limit, and for (ii) analyze the test data to provide a second indication of how well the at least one component is testing relative to the component testing replacement limit and the component testing soft limit.

Abstract: Methods and systems for evaluating integrity of a tubular located within a wellbore are provided. The method includes measuring an operation parameter of the wellbore, measuring a feature of the tubular two or more times to produce an integrity log each time the feature is measured, and determining a tubular integrity analysis for the tubular by using the integrity logs and the operation parameter. The tubular integrity analysis contains parameter limitations for the tubular. The method also includes determining if tubular integrity is within or outside the parameter limitations. If the tubular integrity is within the parameter limitations, then determine a duration of integrity for the tubular. If the tubular integrity is outside of the parameter limitations, then determine a location on the tubular for loss of tubular integrity.

Abstract: A machine tool includes: a first calculator configured to calculate a first frequency characteristic based on a first oscillation signal and a measurement signal of a physical quantity measured by a measurement unit when the drive shaft of a servo motor swings in accordance with the first oscillation signal; and a second calculator configured to calculate a second frequency characteristic based on a second oscillation signal and a measurement signal of the physical quantity measured by the measurement unit when the drive shaft of the servo motor swings in accordance with the second oscillation signal.

Abstract: An actuator for a medium voltage circuit breaker or recloser includes: at least one movable contact with a contact stem, driven by an electromagnetic drive or a motor drive; and a spring, the spring being positioned in a kinematic chain between the drive and the at least one movable contact or contact stem. An arrangement of the at least one movable contact and the electromagnetic drive or motor drive is coupled to a detection unit for detecting a micromotion activation in order to register an actual movability and availability of the electromagnetic drive or motor drive of the at least one movable contact without changing an actual switch position itself.

Abstract: A predictive maintenance system for an aircraft-based power converter subsystem (PCS) continuously measures primary system parameters such as input and output currents and voltages, ambient and PCS component temperatures, and hold-up capacitance voltage. The predictive maintenance system updates the likely failure rate of the PCS based on the primary parameters and secondary parameters (e.g., power consumption, power efficiency, thermal resistance, hold-up storage capacitance) derived therefrom. Sensed primary parameters and derived secondary parameters, as well as the updated failure rate, are stored to memory in order to monitor their time derivatives and regression over the PCS lifespan. Should the updated failure rate ever reach or exceed an acceptable failure rate threshold, the predictive maintenance system alerts the aircraft control system, end user, or provider to service the PCS in advance of an unanticipated field failure.

Abstract: A method of identifying a fault in a system of gears in a wind turbine is provided. The method determines a first centre harmonic frequency amplitude according to vibrations of the system of gears and determines a plurality of sideband amplitudes of the first centre harmonic frequency amplitude. Further, the method calculates an average sideband amplitude from the plurality of sideband amplitudes and determines a value indicative of damage incurred by the system of gears based upon the first centre harmonic frequency amplitude and the average sideband amplitude. The centre harmonic frequencies may be harmonic tooth mesh frequencies and the value indicative of damage may be a ratio of the centre harmonic frequency amplitude and a difference between the centre harmonic frequency amplitude and the associated average sideband amplitude or vice versa. The method may analyse the value of any ratio obtained and use the ratio values to identify, and monitor the progress of, a fault.

Abstract: A machine learning device included in a tool selecting apparatus includes a state observing unit that observes, as state variables indicative of a current environmental state, data related to machining condition, data related to cutting condition, data related to machining result, and data related to a tool, and a learning unit that, by using the state variables, learns distribution of the data related to the machining condition, the data related to the cutting condition, and the data related to the machining result, with respect to data related to the tool.

Abstract: A system and method as disclosed herein develops a predicted current remaining useful life (RUL) of a component through a generalized fault and usage model that is designed through a process of simplifying Paris' Law (or other power law) in conjunction with a Kalman Smoother (or other filtering technique). One of the many advantages of this state observer technique is that the backward/forward filtering technique employed by the Kalman Smoother has no phase delay, which allows for the development of a generalized, zero tuning model that provides an improved component health trend, and therefore a better estimate of the predicted current RUL.

Abstract: A method for predicting equipment failure includes receiving parameter sample values associated with parameters of benchmark equipment and operational status information associated with the benchmark equipment. The parameter sample values and operational status information are periodically acquired. A model is generated for relating one or more of the parameters to benchmark equipment failure. For each parameter, a threshold value at which an output of the model indicates benchmark equipment failure is determined. Next, parameters of an equipment under test having parameter sample values that match the determined threshold values are determined. For each determined parameter, benchmark equipment having parameter sample values that match the parameter sample values of the equipment under test that match the determine threshold values are determined. Survivability data for the equipment under test is generated based on survivability data associated with the determined benchmark equipment.

Abstract: A method and device for predicting a wind turbine fault is provided. The method includes: initializing a wind turbine model of the wind turbine; updating wind turbine model parameters of the wind turbine model based on a current environment condition and current actual wind turbine state parameters of the wind turbine periodically; establishing a variation model of the wind turbine model parameter based on historical wind turbine model parameters and corresponding historical environment conditions; predicting the wind turbine model parameters at a future moment by using the variation model of the wind turbine model parameters based on a future environment condition at the future moment; establishing a wind turbine fault model based on the historical wind turbine model parameters and corresponding historical wind turbine faults; predicting the wind turbine fault at the future moment based on the predicted wind turbine model parameters and the wind turbine fault model.

Abstract: Systems, methods, and media for detecting abnormalities in equipment that emit ultrasonic energy into a solid medium during failure are provided. In some embodiments, devices for monitoring a piece of equipment are provided, the devices comprising: a piezo microphone having a signal output; a mechanical structure acoustically coupling the piezo microphone to the piece of equipment; a hardware processor configured to: receive intensity signals based on the signal output of the piezo microphone; perform a fast Fourier transform on the received intensity signals to produce a set of output band values for each of a plurality of frequency bands; average at least some of the output band values to produce an average value; and calculate a sum of at least some of the output band values; and a transceiver that transmits the sum to a remote device.

Abstract: Methods and systems for determining the integrity of a manufactured board are disclosed. An example system includes a testing platform configured to secure the manufactured board, a sensor configured to measure a parameter corresponding to a flatness of a surface of the board, and a controller. The controller is configured to identify regions on the surface corresponding to one of a peak or a valley based on the parameter, and calculate a score representing the integrity of the manufactured board based on the identified peaks and valleys. The controller adjusts a flow rate, a pressure, a temperature, and position of a deposited substance in a manufacturing process based on a comparison with a height of the peak and/or a depth of the valley to stored peak heights and/or valley depths. In some examples, a mechanical tester determines a compressive strength and a density of the board at the identified regions.

Abstract: A pump control system receives inputs from a low level fluid level sensor, a high level fluid level sensor, and/or a temperature sensor. Based on inputs from the sensors, and in response to sensed trouble conditions, duplex pumping or pump specific simplex operation is restricted based on past and present pump current draws. Furthermore, using the temperature sensor and a temperature sensor output device, the temperature of the sump environment can be monitored at will from a remote location.

Abstract: To acquire information relating to degradation of a pipe on the basis of information that can be acquired using a simple method. The analysis device according to one embodiment is provided with: a determining unit for determining whether or not the accuracy of a pipe network model based on information that includes a parameter that changes in value in accordance with degradation of a pipe satisfies a predetermined criterion; and a derivation unit for deriving information relating to degradation of the pipe, based on the parameter, if the accuracy satisfies the predetermined criterion.

Abstract: There is provided a contact force evaluation method for evaluating a contact force against a supporting member of a tube bundle positioned in a fluid and supported by the supporting member, including a contact force setting step of setting a contact force of the tube bundle, a probability density function calculation step of calculating a probability density function of a reaction force received by the supporting member from the tube bundle in response to a predetermined input, using a vibration analysis model of the tube bundle and the supporting member, a probability calculation step of calculating a probability that a reaction force equal to or higher than the set contact force occurs, based on the calculated probability density function, and an evaluation step of evaluating the set contact force, based on the calculated probability.

Abstract: Techniques that facilitate optimization of prototype and machine design within a three-dimensional fluid modeling environment are presented. For example, a system includes a modeling component, a machine learning component, and a graphical user interface component. The modeling component generates three-dimensional model of a mechanical device based on a library of stored data elements. The machine learning component predicts one or more characteristics of the mechanical device based on a first machine learning process associated with the three-dimensional model. The machine learning component also generates physics modeling data of the mechanical device based on the one or more characteristics of the mechanical device. The graphical user interface component provides, via a graphical user interface, a three-dimensional design environment associated with the three-dimensional model and a probabilistic simulation environment associated with optimization of the three-dimensional model.

Abstract: Disclosed, is a system for pipe network failure classification, including a network part sensor layer for monitoring pipe(s) operation condition and collecting related parameter values. A system pipe network parts database includes feature parameter value records of pipes in the pipe network. A classification processing logic, intermittently receive sensor collected parameters from said network part sensor layers, references records of the pipe network parts database and retrieves one or more feature parameter values associated with the failed pipe's operational or environmental conditions, and classifies the pipe failure into one of two or more failure categories.

Abstract: A method, system and computer program product are provided in order to evaluate corrosion loss and to establish maintenance actions based thereupon. In the context of a method, a structure is inspected to generate corrosion information and a corrosion model of the structure is generated based upon the corrosion information. The method also includes generating a combined corrosion model based upon the corrosion model and a baseline model of the structure including material types and thicknesses at respective locations on the structure. The method further includes establishing maintenance actions including modification of an inspection interval based upon the combined corrosion model. Corresponding systems and computer program products are also provided.

Abstract: According to various embodiments, there is provided a control arrangement for maintenance of a collection of physical devices, the control arrangement including: a receiver configured to receive observation data, the observation data representative of physical conditions of each physical device of the collection of physical devices; a processor configured to compute respective maintenance output data of maintaining different combinations of the physical devices, based on the observation data; and a controller configured to determine the combination of the physical devices to be maintained based on a comparison of the computed respective maintenance output data, the controller further configured to control maintenance of the determined combination of the physical devices.

Abstract: A method collects from at least one power measuring device of an environment power consumption data indicating active power consumption during a timeframe by an electrical device in the environment. The method also collects operating parameter data indicating at least one operating parameter under which the electrical device operates during at least a portion of the timeframe. The method performs, based on observing an increase in power consumption of the electrical device during the timeframe, assessing extents of contribution by potential contributing factors to the increase in power consumption, the potential contributing factors including time-based degradation of the electrical device and the at least one operating parameter. The method outputs, based on the assessing, an indication of an extent of contribution of degradation of the electrical device to the increase in power consumption.

Abstract: A device includes a catalog storage unit that stores a catalog having versatility; a catalog control unit that specifies the catalog corresponding to a target machine tool to be subjected to state determination based on machine tool information including an item of facility type and acquires the catalog from the catalog storage unit; a feature quantity extraction unit that extracts a feature quantity from sensor data detected from the target machine tool; a sensor data processing unit that performs state determination of the target machine tool based on the feature quantity distribution included in the acquired catalog and the feature quantity extracted from the sensor data; a feature quantity tuning unit that performs tuning of the feature quantity distribution by mapping the extracted feature quantity to the feature quantity distribution; and a catalog updating unit that updates the catalog based on the feature quantity distribution after tuning.

Abstract: Monitoring and assessing power performance changes of one or more wind turbines of a wind farm. For each wind turbine to be monitored, a group of reference wind turbines is defined. During a training period a transfer function is generated for each monitored wind turbine. The transfer function establishes a relationship between locally measured wind speeds at each of the reference wind turbines and the power performance data for the monitored wind turbine obtained during the training period. During one or more subsequent test periods, measured power performance data for the monitored wind turbines is compared to predicted power performance data. The predicted power performance data is obtained by means of the locally measured wind speeds at the corresponding reference wind turbines during the test period(s) and the previously generated transfer function for the monitored wind turbine. This allows even small and/or gradual power performance degradation to be detected.

Abstract: Provided in the present disclosure is an online fault detection device installed in a train car and used for a high-speed train running component comprising a GPS module (1), a noise sensor (2), a 3G module (5), a solid-state drive (6), a microprocessor (4), a status indicator (3), and a buzzer (7). Input ends of the microprocessor (4) are connected to an output end of the GPS module (1) and an output end of the noise sensor (2) respectively. Output ends of the microprocessor (4) are connected to an input end of the status indicator (3) and an input end of the buzzer (7) respectively. The microprocessor (4) is interactively connected to the 3G module (5) and the solid-state drive (6) respectively. The device above is reliable and easy to be installed and maintained; and the components and sensor thereof are not prone to be damaged.

Abstract: This invention provides the following: a diagnostic device that may, with a simple design, diagnose the condition of a wide area of a structure such as a pipe; and the like. The diagnostic device 100 has a determining means for determining the condition of the structure on the basis of the speed of sound therein.

Abstract: A monitoring method and monitoring apparatus for the remaining life of a bearing are provided. The monitoring method comprises: during the operation of a bearing, determining a position where a defect of the bearing is located, and determining a size of the defect (S10); according to the position where the defect is located and a set condition, determining a failure mode of the bearing as well as an expansion rate and a failure value of the defect in the failure mode (S20), the failure value being a maximum value that the defect can reach when the bearing fails; and based on the size, expansion rate and failure value of the defect, obtaining the remaining life of the bearing (S30). The monitoring method and monitoring apparatus determine the remaining service life of a bearing, so that maintenance personnel can arrange a maintenance plan and counter measures in advance.

Abstract: A method for analyzing a structure includes processing nondestructive inspection (NDI) data for a multi-layer structure to define areas of inconsistency at an internal layer or an interface between adjacent layers. The method includes mapping the areas of inconsistency to finite elements of a finite element model of a nominal of the structure. These finite elements are thereby identified as affected finite elements and include finite elements for the affected internal layer or interface. The method includes producing a reconstructed finite element model of the affected structure from the nominal finite element model, and a modified property or state value assigned to respective element datasets of the affected finite elements. The method includes performing a finite element method (FEM) failure analysis of the reconstructed finite element model under a load, which indicates an extent of residual integrity of the affected structure.

Abstract: An information processing apparatus is equipped with a storage and obtains a remaining life time of the information processing apparatus, sets a minimum off/on time interval for a power supply of an equipped storage based on the obtained remaining life time of the information processing apparatus and a remaining number of times of power supply of the storage can be turned off/on, and controls so that a transition is made to a sleep mode in a state in which the minimum off/on time interval for the power supply of the storage that is set is ensured.

Abstract: The disclosed embodiments relate to a technique for training a prognostic pattern-recognition system to detect incipient anomalies that arise during execution of a computer system. During operation, the system gathers and stores telemetry data obtained from n sensors in the computer system during operation of the computer system. Next, the system uses the telemetry data gathered from the n sensors to train a baseline model for the prognostic pattern-recognition system. The prognostic pattern-recognition system then uses the baseline model in a surveillance mode to detect incipient anomalies that arise during execution of the computer system. The system also uses the stored telemetry data to train a set of additional models, wherein each additional model is trained to operate with one or more missing sensors. Finally, the system stores the additional models to be used in place of the baseline model when one or more sensors fail in the computer system.

Abstract: This invention relates to a method for determining a wear state of a chisel, a chisel holder, and/or a chisel holder replacement system equipped with a chisel and chisel holder. For this method to give the user qualitative and quantitative information about the wear, according to one embodiment of this invention, a position of at least one point of the chisel and/or the chisel holder is determined by a contactless measurement method and a corresponding measurement result is compared in a switching unit to a reference value stored in a memory device.

Abstract: Methods for quantitatively determining the time (TNI) between (1) the application of this method and (2) the time at which the next out-of-service API 653 internal inspection of a steel, field-erected, aboveground storage tank (AST) containing petroleum/water products should be performed. These methods combine four in-service measurements of the thickness, integrity, and corrosion rate of the tank bottom with an empirical corrosion rate cumulative frequency distribution (CFD) for the tank of interest to develop a Bayesian tank bottom survival probability distribution to determine TNI. During this entire TNI time period, the risk of tank bottom failure is less than at the time these methods were applied. If available, the results of a previous out-of-service API 653 internal inspection are also used. These methods can be applied at any time while the tank is in-service to update the internal inspection interval previously determined in an out-of-service internal inspection of the tank.

Abstract: Generally, a system and method consistent with the present disclosure may provide a relatively low cost, relatively robust data acquisition and analysis system useful for condition-based maintenance. The system may be useful for condition-based maintenance in industrial applications, e.g., of equipment and/or machinery. The industrial monitoring system may be used, for example, to monitor a condition of rotating machinery, e.g., a wind turbine. The system and method may include data analysis that may be useful for anticipating a need for maintenance, repair and/or replacement of one or more components.

Abstract: The invention relates to a monitoring system for at least one dialysis machine (e.g. a peritoneal dialysis machine), wherein the monitoring system receives data from a dialysis machine to be monitored via a first data communication network, wherein the data are selected from a group comprising machine data, error codes, operational data, environmental data, consumables data, network data, treatment data, wherein the data received are stored in a manner which is specific to the respective peritoneal dialysis machine, wherein for each machine, at least individual components of the stored data are analyzed wherein, on the basis of the analysis, an action selected from informing a patient, informing a medical professional, informing service personnel, informing a quality management representative is carried out via a second data communication network.

Abstract: The invention relates to a method for determining the wiping use of a wiper blade (14) pertaining to a wiper system (10) used to wipe a window pane (12) of a motor vehicle, with a view to replacing said wiper blade once it exceeds a determined wear threshold, the wiper blade carrier (16) being movable between a position of use, called a service position, and a maintenance position, said method being characterised in that it successively comprises: a step a) of acquiring at least one data element representing the presence of the wiper blade (14) in the maintenance position; a step b) of determining the replacement of the wiper blade with a new wiper blade; and a step (c) of estimating the wiping use of the new wiper blade.

Abstract: A technique facilitates formulation of predictions regarding the run life of a pumping system. Based on the predicted run life, and factors affecting that predicted run life, corrective actions may be selected and implemented. The corrective actions may involve adjustment of operational parameters regarding the pumping system so as to prolong the actual run life of the pumping system. The technique utilizes an algorithm which combines various models, e.g. physical models and degradation models, to provide various failure/run life predictions. The various models may utilize a variety of sensor data, such as actual sensor data and virtual sensor data, to both evaluate the state of the pumping system and the predicted run life of the pumping system.

Abstract: A system and method for inspecting a railway track a calculating plate cut and/or rail seat abrasion (RSA) based on rail head elevation and crosstie surface elevation measurements and an estimate of rail height.

Abstract: Systems and methods for determining a pattern in time series data representing an operation of a machine. A memory to store and provide a set of training data examples generated by a sensor of the machine, wherein each training data example represents an operation of the machine for a period of time ending with a failure of the machine. A processor configured to iteratively partition each training data example into a normal region and an abnormal region, determine a predictive pattern absent from the normal regions and present in each abnormal region only once, and determine a length of the abnormal region. Outputting the predictive pattern via an output interface in communication with the processor or storing the predictive pattern in memory, wherein the predictive pattern is a predictive estimate of an impending failure and assists in management of the machine.