Abstract: A transport system includes a transport path having at least two transporting modules, a carriage configured to move on the transport path, a controller provided on each of the two transporting modules and configured to drive the carriage in response to a drive command, and a sensor provided on each of the two transporting modules. The drive command is corrected with a distance between the sensors provided on the two transporting modules.

Abstract: A facility state analyzing device includes: a measurement unit that measures a load on a facility and generates, based on a measurement condition, load information representing the load being measured; an extraction unit that extracts, from the load information generated by the measurement unit, dynamic load information representing a dynamic component of the load whose dynamic fluctuation degree with a lapse of time is equal to or more than a reference; a measurement condition determination unit that determines, based on temporal transition of the dynamic load information, the measurement condition indicating a time zone during which the load information is generated; and an analysis unit that analyzes the load applied on the facility, by using the load information generated based on the measurement condition, to efficiently increase accuracy in estimating the state of the facility on the basis of a situation of the load applied to the facility.

Abstract: A method and apparatuses to extend the time interval between out-of-service, in-tank inspections while insuring structural integrity using a risk-based, Bayesian statistical approach comprised of a passing leak detection test, determining that the tank is not leaking, estimating a thickness of the tank floor to estimate a corrosion rate, and conducting a risk assessment using the result of the leak detection test, the corrosion rate and thickness of the tank floor, and statistical data of tank failures.

Abstract: Systems and methods to extend a life of a component of a cylinder deactivation system are provided. A method includes generating, by a controller, an initial life factor for the component; initiating, by the controller, a CDA mode for an engine; determining, by the controller, an actual life factor for the component, the actual life factor determined by comparing a number of switching events of a cylinder in the CDA mode to a number of cycles of the cylinder in the CDA mode; comparing, by the controller, the actual life factor to the initial life factor; and modifying, by the controller based on the comparison, operation of the engine in the CDA mode to adjust the actual life factor.

Abstract: An anomaly determination apparatus for a vehicle that includes a transmission includes an execution device and a memory device. The memory device is configured to store map data that defines pre-trained map, which has been trained through machine learning. When a variable representing time-series data of a rotation speed of a gear is fed to the map as an input variable, the map outputs a state variable representing a state of the gear as an output variable. The execution device is configured to execute: an obtaining process that obtains the variable representing the time-series data as a value of the input variable; and a determination process that determines whether there is an anomaly in the transmission based on a value of the output variable that is output by the map when the value of the input variable is fed to the map.

Abstract: A minimum creep life location (MCLL) on a blade for a turbine blade design is received. A temperature at the MCLL on the blade is monitored. When the temperature at the MCLL exceeds a predetermined threshold, a cooling air supply is adjusted to lower the temperature below the threshold during engine operation.

Abstract: The present invention discloses a system and method for structural health monitoring to identify structural anomaly and to predict structural integrity of civil structures on real time basis by evaluating feasibility of wireless structural health monitoring (SHM) of civil structures encompassing internet-of-things (IOT) and machine learning models (8). The system includes a sensor (S) connected to node processor (1, 1a, 1b, 1c, . . . 1n), physical device gateway (2), cloud gateway (4), trigger function software client (5), graphic user interface or dashboard (9) and communication module (C). The system evaluates incoming real-time engineering data on the cloud gateway (4) and allows a trigger function to route the engineering data to cloud storage (6b) and cloud analytics (6a) and alert system (6c). The system gives a single conditional statement in real-time by correlating predictions of multiple structural integrity parameters of the civil and mechanical engineering structures.

Abstract: A corrosion rate estimation apparatus includes a corrosion rate measurement unit adapted to repeat water supply cycles in which water is supplied to soil in which metal to be evaluated is buried and measure a cycle number of each water supply cycle, one or more time points in each cycle, and a corrosion rate of the metal at the time point(s); a learning unit adapted to find a prediction model by accepting the cycle number, the time point(s) in the cycle, and the corrosion rate(s) as input and using a machine learning algorithm, the prediction model representing a future corrosion rate; and a corrosion rate estimation unit adapted to assign a cycle number and a time point in the cycle at which a corrosion rate is desired to be estimated to the prediction model and estimate a corrosion rate of the metal at the time point.

Abstract: Systems and methods for automated or computer assisted planning of pipe replacement projects includes searching a database of pipe segments each having assigned or calculated failure risk parameters. The searching algorithm looks for connected pipe segments falling within a customer's specified project size and identifies potential projects having a relatively high combined high failure risk.

Abstract: A computing device of an information handling system includes an environmental control component and an environmental manager. The environmental control components identifies an aggregate amount of corrosion of a component of the information handling system; obtains a rate of corrosion associated with the component; makes a determination that the rate of corrosion indicates that the component will suffer a premature failure; in response to the determination: identifies an environmental control modification that will remediate the premature failure of the component; and updates an operation of the environmental control component based on the environmental control modification.

Abstract: Aspects of the disclosed technology provide solutions for performing vehicle routing based on road quality data. In some approaches, a process of the technology can include steps for collecting road quality data using at least one vehicle-mounted sensor, identifying two or more routes to a destination location, receiving historical road quality data associated with the two or more routes to the destination location, and calculating a damage projection associated with each of the two or more routes to the destination location, wherein the damage projection is based on the historical road quality data for at least one of the two or more routes to the destination location.

Abstract: A system comprises a server including a port, memory and processing circuitry. The port is configured to receive (i) a drawing file associated with an isometric drawing of an asset at an inspection site including indications of condition monitoring locations (CMLs) for the asset, and (ii) inspection measurement data for the asset, the inspection measurement data including inspection measurements associated with the CMLs. The memory is configured to store the drawing file and the inspection measurement data. The processing circuitry is configured to use the inspection data and the drawing file to generate, using the inspection measurement data and the drawing file, (i) survey image data for display and (ii) metadata for the survey image data, the metadata including survey image coordinates for the CMLs and the inspection measurements associated with the CMLs.

Abstract: A diagnostic apparatus includes an acquiring unit that acquires state information indicating an operational state of a motor for driving a shaft of a machine tool; a sensor that measures a physical quantity indicating an environment of the machine tool; a storage unit which stores a normal range of the state information corresponding to a value of the physical quantity; and a judging unit that, when the state information acquired by the acquiring unit is not within the normal range of the state information corresponding to the value of the physical quantity measured by the sensor, judges that the machine tool has an abnormality.

Abstract: A system may include a hose assembly and a controller. The hose assembly may comprise a plurality of sensor devices configured to generate sensor data regarding the hose assembly. The sensor data may include at least one of first sensor data regarding a bend radius of a first portion of the hose assembly, or second sensor data regarding an amount of torque at a second portion of the hose assembly. The controller may be configured to receive the sensor data from the plurality of sensor devices; determine a remaining life of the hose assembly based on the sensor data; and perform an action based on the remaining life of the hose assembly.

Abstract: A method for efficiently estimating a degree of wear of a tire in which a normalized deformation speed index is set as a wear measure. The normalized deformation speed index is obtained by normalizing an index of a deformation speed near an edge of a tire contact patch, the index being calculated from magnitudes of peaks appearing in a radial acceleration waveform obtained by differentiating tire radial acceleration detected by an acceleration sensor. The degree of wear of the tire is estimated using the wear measure, the ground contact time ratio, a worn tire approximate formula and an approximate formula when a tire is new, which have been obtained in advance and each represents a relationship between the wear measure and the ground contact time ratio obtained by running a plurality of tires having tire sizes different from each other.

Abstract: The present disclosure is directed to systems and methods for predicting risk of machine components not achieving their agreed life based on historical data. In some implementations, the predicting component risk system can obtain historical component specific time series data and component life data that correspond to a specific component of a type of machine. Using the component specific time series data and component life data, the predicting component risk system can train a time-series model. After training the model, the predicting component risk system can obtain current component specific data that includes information on the current condition and usage of the component. Using the trained time-series model, the predicting component risk system can determine a risk score for the current component specific data and notify maintenance entities of the risk. The risk score can represent the risk that the specific component does not achieve agreed life.

Abstract: A sensor system includes one or more sensors that sense vibrations of a vehicle and one or more processors that can determine a speed of the vehicle and determine whether the vibrations occurring at one or more frequencies of interest (that are based on the speed of the vehicle) indicate damage to a propulsion system of the vehicle. The one or more processors optionally may determine a hunting frequency of a wheel and axle set and/or a lateral acceleration of the wheel and axle set from the vibrations. The one or more processors can determine a conicity of a wheel in the wheel and axle set based on the hunting frequency and/or the lateral acceleration that is determined.

Abstract: A method and a system for fatigue life prediction of additive manufactured components accounting for localized material properties. The method and the system is employed for prediction of fatigue life properties of an additive manufactured element, with a data collection step in which several data points for maximum stress vs. cycles to failure for different given processing steps of the element are collected, with a training step in which a Machine Learning system is trained with the collected data, and with an evaluation step in which the trained Machine Learning system is confronted with actual processing steps and used to predict the fatigue life properties of the element.

Abstract: A system and method for data acquisition in a wireless sensor network include receiving measurements made by a plurality of sensor nodes in the wireless sensor network during a given time period, the measurements being carried in data packets that are routed from the plurality of sensor nodes to a base node. The system and method also include determining a plurality of routing paths for the data packets based on routing topology tomography. The system and method further include determining a measurement matrix and a representation basis, and acquiring sensor signals in the wireless sensor network based on the measurement matrix and the representation basis.

Abstract: Systems, methods, and apparatuses for improving future reliability prediction of a measurable system by receiving operational and performance data, such as maintenance expense data, first principle data, and asset reliability data via an input interface associated with the measurable system. A plurality of category values may be generated that categorizes the maintenance expense data by a designated interval using a maintenance standard that is generated from one or more comparative analysis models associated with the measurable system. The estimated future reliability of the measurable system is determined based on the asset reliability data and the plurality of category values and the results of the future reliability are displayed on an output interface.

Abstract: The present disclosure relates to an information processing device, an information processing method, and a program for enabling more accurate prediction of a crack to be made. A model acquisition unit acquires a structure model MD from a model generation unit, an external device (not illustrated), or the like. Amplitude load energy A in an element E0 having no cracks is set on the basis of a relationship between an equivalent stress ? and an equivalent elastic strain ? experimentally obtained according to a material constituting the element E0. Since the equivalent elastic strain ? depends on a crack variable ?, the amplitude load energy A is expressed as a function of the crack variable ?. A crack prediction unit predicts a crack to be generated in a structure D by calculating a differential equation having a term proportional to the amplitude energy. The present disclosure can be applied to, for example, a crack prediction device that predicts a crack.

Abstract: A wind turbine generator fault detection method is described. The method includes obtaining a first signal from a generator of a wind turbine and a second signal from a vibration sensor coupled to the wind turbine, the first signal representing an output current of the generator, and the second signal being a time-sampled signal representing vibrations of a bearing in the wind turbine. Determining a shaft rotation frequency signal from the first signal, the shaft rotation frequency signal representing a time-varying rotational speed of a shaft of the wind turbine. Resampling an envelope of the second signal based on the shaft rotation frequency signal to provide a third signal, the third signal being an angular sampled signal. Detecting, by the at least one processor, a fault in the bearing of the wind turbine by identifying a characteristic signature of a bearing fault in the third signal.

Abstract: A computer is configured to enable a rapid, consistent, ply-by-ply, quantitative analytical assessment of various Finite Element Method (FEM) material models based on metrics defined for impact damage. Additionally, the computer is configured to provide a method for determining the accuracy of such FEM material model(s) by comparing the output of those models to non-destructive evaluation (NDE) test data.

Abstract: There is provided a load controller for a system, the system comprising a first sub-system arranged to deliver a first load, the load controller being operable to: acquire a first target load profile, being the load initially desired for delivery by the first sub-system over an operational period; measure in real time during an update window within the operational period: a first parameter of the first sub-system, to obtain a first measured Load Controller monitor signal; and the first load, to obtain a first measured load signal; develop in real time a model of the first sub-system, using the first measured monitor signal and the first measured load signal, the model relating the first load to the first parameter; given the first target load profile, and the model of the first sub-system, generate for a future period a first predicted monitor signal, the future period being ahead of the update window; and determine whether the first predicted monitor signal satisfies at least one predetermined criterion.

Abstract: A contamination sensor for a gas turbine engine is disclosed herein. The contamination sensor is made of a selected composition of material and includes a base alloy, an alloy for improving oxide formation, and at least one element from the transition metal group. The composition of the contamination sensor can be adjusted to react with specific contaminants at specific temperature ranges.

Abstract: A processing device (120) of a tire state detection system (100) is provided with an acceleration data acquisition unit (123) for acquiring the acceleration data detected by an acceleration sensor (111) at every predetermined acquisition interval, an acceleration data extraction unit (125) for extracting the maximum acceleration data indicating at least the maximum acceleration and the intermediate acceleration data indicating the intermediate acceleration excluding the minimum acceleration data indicating the minimum acceleration from 3 or more acceleration data acquired sequentially, and a calculation unit (127) for executing an calculation using the extracted intermediate acceleration data.

Abstract: A method is provided. An actual fatigue curve limit is determined for actual stress of a drilling component based on an actual yield strength of a material of the drilling component. A plurality of drilling parameters is simulated for the drilling component to determine one or more estimated stresses enacted on the drilling component for one or more combinations of the plurality of drilling parameters. A component life cycle of the drilling component is determined based on the actual fatigue curve limit and the plurality of drilling parameters. A consumed component life of the drilling component is determined for an actual drilling step utilizing the drilling component, and a remaining life of the drilling component after the actual drilling step is determined.

Abstract: Systems and methods for determining a damage value of one or more composite components and/or a vehicle using digital image correlation are disclosed. Digital image correlation is used to evaluate a displacement of one or more nanoparticles that are deposited on and/or embedded within the composite component. Digital image correlation is performed by identifying a first reference entry indicating a reference position of the one or more nanoparticles and correlating the first reference entry with sensor data of the composite component indicating a position of the one or more nanoparticles. The damage value of the composite component is determined based on the digital image correlation between the sensor data and the first reference entry.

Abstract: A metadata generation apparatus capable of generating metadata, as well as a metadata generation method and program are provided. The sensing device is configured to generate an output value based on a physical amount that is input. The metadata generation apparatus includes a probability density function generation unit and a metadata generation unit. The probability density function generation unit is configured to generate a probability density function of an output value when a specific physical amount is input to the sensing device. The metadata generation unit is configured to generate metadata based on the probability density function.

Abstract: A method for predicating a service life of a fuel filter includes causing a fuel pump of a fuel system to direct fuel through a fuel filter of a fuel system. The method also includes receiving work cycle data from machines that implement a same or similar fuel system. The method further includes receiving, via sensors of the fuel system, fuel system data and determining, from the fuel system data, a pressure difference across the fuel filter. The method further includes determining, based on the work cycle data, predicted load cycle data for the fuel system and determining, via a filter life model, a filter service interval representing an amount of time the fuel filter is operable in the fuel system prior to the pressure difference reaching a predetermined value.

Abstract: A health monitoring system includes at least one sensor. A health monitoring unit (HMU) is operatively connected to the at least one sensor to receive data therefrom and to generate at least one status indicator (SI) based on the data from the at least one sensor. A computing device is operatively connected to the HMU to receive data therefrom and is configured to generate a health notification when a quantity of the SI that are greater than or equal to a pre-determined SI threshold exceed a pre-determined peak count threshold. A method for monitoring and determining the health of a component includes collecting data during a sample cycle from at least one sensor to generate a numerical SI for a given component with a computing device. The method includes identifying if the numerical SI qualifies as a peak SI, which is greater or equal to a pre-determined SI threshold.

Abstract: A method for detecting damage to one or more mobile blades of an impeller of an aircraft engine, includes measuring the speed of the engine, and for each blade acquiring, by a plurality of sensors, measurements of blade-tip passage times; calculating for each sensor, a deflection of the blade tip; extracting a dynamic component of deflection for each of the calculated deflections; detecting the number of functioning sensors; selecting the dynamic components to be processed based on the detecting step; determining, for at least one blade, a variation of the dynamic behavior of the blade for each functioning sensor; and, for each blade for which a variation of the dynamic behavior has been determined, identification of potential damage to the blade.

Abstract: Provided is a sensor mounting structure for a rolling guide device, which enables easy mounting and removal of a sensor of a type among various types with respect to the track rail, the sensor mounting structure including: a sensor holder to be fixed to an end surface of the track rail in a longitudinal direction of the track rail; and a sensor casing to be held on the track rail by the sensor holder, the sensor holder including: a base plate to be fixed to the end surface of the track rail, and a holding plate having one end continuous with the base plate as a fixed end, and another end formed as a free end elastically deformable with respect to the base plate, the holding plate being configured to urge the sensor casing toward the end surface of the track rail by the free end.

Abstract: Embodiments of the present disclosure relate to the field of intelligent devices. The present disclosure provides a method for monitoring motor vibration, a terminal device, and a computer readable storage medium. In the method, vibration data of the motor is acquired in real time when it is detected that a motor is vibrating; the vibration data is converted into image data indicating a vibration sensation; and the image data is displayed. In this way, the strength of motor vibration is visualized, and the distinguishability of tactile perception is improved.

Abstract: In order to supplement results of diagnosis of degradation of an object that has been implemented at set intervals using a degradation progression model for simulating the progression of degradation of the object, a degradation prediction apparatus 100 is provided with: a data generation unit 112 configured to generate, as supplement data, diagnosis results that would be obtained if the degradation diagnosis were performed at an interval shorter than the set interval; a prediction model generation unit 113 configured, using the supplement data, to generate a prediction model for predicting a degradation index indicating a degradation state of the object at a specific point in time; and a degradation index prediction unit 114 configured to predict the degradation index of the object based on the prediction model.

Abstract: Techniques for implementing Bayesian model for refining and petrochemical wall thickness monitoring are presented. The construction of a model may be automated for each piping circuit or piece of major fixed equipment, utilizing, for example, specific component data, historical thickness measurements, inspection practices and related inspection program information. The model contains nodes describing the most significant sources of variability, namely component original thicknesses, wall thickness degradation over time, corrosion rates and thickness measurement error.

Abstract: A technique facilitates tracking and assessing a fatigue life of a tubing string utilizing, for example, estimation of cycles to failure when used in a wellbore operation. The technique may comprise initially determining a fatigue life of a tubing string. Additionally, the technique comprises utilizing a sensing device, e.g. a magnetic flux leakage (MFL) device, to monitor the tubing string. When an anomaly, e.g. a new defect, is detected by the sensing device, a new fatigue life of the tubing string is determined based on the change. The new fatigue life may be used to estimate a fatigue life in terms of cycles to failure.

Abstract: The present invention provides a smart air filter blockage detection and alert communication system for use with filters in air circulation systems such as HVAC, vehicles, server systems, and dryers. The system attached to the frame of a filter comprises a light source, a light sensor, two actuators and a control unit. The control unit based on a stored program or an external command activates the actuators to place the source and the sensor devices attached to the two arms of the actuators on the two sides of the filter membrane. The sensor measures the light intensity transmitted through the filter. The control unit upon receiving the intensity data determines the filter blockage level and communicates alert to the user when the blockage exceeds a predetermined value. The system uses a 4G or a 5G IoT network capability for data collection and communication with servers and user devices.

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: 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: 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: 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 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 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 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.