Abstract: A measuring device includes a sensor generating a sensor signal in dependence upon a detected measured variable, a compensating facility generating a compensation signal in response to detected shocks, and an evaluating facility generating a measurement result from a difference between the sensor signal and the compensation signal. The compensating facility includes a multi-axis MEMS inertial measuring unit having an acceleration sensor alone or together with a gyroscope and generating a plurality of movement signals in correspondence to a number of axes, and a computer including a computational model trained to model an unwanted signal portion of the sensor signal in response to the shocks caused by the movement signals, and to output the unwanted signal portion as a compensation signal. The computational mod& is trained such that absent a measured variable, the difference between the sensor signal and the compensation signal is zero or is below a predetermined threshold.

Abstract: A method is provided that provides data analysis for sequence of events reporting in the operation of an industrial process. A digital filter and edge detector are provided that combines a method for excluding known invalid samples and a method for excluding samples taken while the input in the traveling range. The filtering method reduces the overhead on the CPU from managing the sequence of events machine and allows it to focus on performing safety functions.

Abstract: A method includes identifying maximum and minimum values in an input data set after a request to display data from the data set, which is remote and includes many entries with a first and a second value. First values are ordered sequentially and maximum and minimum values are second values. The method subtracts the minimum value from the maximum value to find a height, determines a target data amount for downloading to display to satisfy interface quality experience criteria, and calculates a difference level for a compression algorithm. The compression algorithm uses the difference level to select input data set entries for a compressed data set and is based on the input data set, the target data amount and the height. The method includes processing the input data set with the compression algorithm and the difference level to create the compressed data set, and transmitting the compressed data set.

Abstract: Oscillatory instabilities are ubiquitous of systems, and these usually arise out of low amplitude aperiodic oscillations. These oscillatory instabilities generally affect the performance and the lifespan of systems in an adverse manner. An apparatus and a method are disclosed here to estimate the rms value or the amplitude of limit cycle oscillations for control of the oscillatory instability.

Abstract: This disclosure relates to a system and method for monitoring a sheave bearing condition, and in particular relates to passenger conveyer systems, such as elevator systems, employing the system and method. An example passenger conveyer system includes a suspension member, and a sheave configured to rotate on a bearing. The suspension member is wrapped around at least a portion of the sheave. Further, the system includes a sensor mounted adjacent an end of the suspension member, and a controller configured to determine a condition of the bearing based on an output of the sensor.

Abstract: According to an aspect, a method includes monitoring a plurality of vibration data by a vibration monitoring beacon and determining that the vibration monitoring beacon has been installed at a service location based on detecting an installation characteristic signature in the vibration data. The vibration monitoring beacon can transition into a learning mode based on determining that the vibration monitoring beacon has been installed at the service location. The method can also include monitoring for a learning mode termination event and transitioning the vibration monitoring beacon from the learning mode to a normal operation mode based on detecting the learning mode termination event.

Abstract: A method (400) of determining blade tip deflection characteristics is applied to moving rotor blades (R1, R2) in a turbomachine (10) comprising a housing and rotor including a shaft with the rotor blades attached thereto and at least one proximity probe (202). The method (400) includes measuring ((402) a proximity signal caused by a presence of a proximate tip of a moving rotor blade (R1) and calculating (404) by a control module (212) a shaft Instantaneous Angular Position (IAP) as a function of time, and performing (410) an order tracking process which includes expressing (412) the measured proximity signal in the angular domain and resampling (414) the expressed proximity signal to render it equidistant in the angular domain.

Abstract: Methods and systems for calibrating an engine having a rotating shaft are provided. Readings from a plurality of speed sensors provided in one of a plurality of configurations about the shaft are obtained over a plurality of rotations of the shaft, the readings indicative of the passage of position markers and associated with a first precision level. A parameter indicative of relative spacing between the plurality of speed sensors is determined by applying a statistical algorithm to the readings, the parameter being associated with a second precision level higher than the first precision level. The parameter is compared to reference parameters associated with the plurality of configurations to identify an actual speed sensor configuration from amongst the plurality of configurations. The engine is calibrated based on the actual speed sensor configuration.

Abstract: A remote diagnostic center configured to receive vibration data, field notes information, and diagnostic reports over a communication network from one or more vibration analysis units located at one or more machine sites, including a data center configured to receive, store, and provide secure backup for received vibration data and field notes information, the data center including a communication module, a database management module, a diagnostic analysis module, and a portal module to enable one or more remote analysts to review and collaborate on the received vibration data, field notes information, and diagnostic reports to monitor and report to a diagnostic center manager whether the vibration data and field notes information corresponding to a particular machine-under-test is being processed by an analyst and will be completed within a specified time interval specific to the machine-under-test.

Abstract: A display unit in a motor vehicle presents information to a first user located in a personnel site. A frame carries the personnel site and a suspension system between the frame and the personnel site has at least one adjustable suspension characteristic. While the motor vehicle is being operated, a control system repeatedly determines a first gaze point of the first user on the display unit. Variations in a position for the first gaze point over time are analyzed; and in response thereto, the control system generates a first control signal to the suspension system so as to reduce a fluctuation of the position for the first gaze point, if a repositioning of the first gaze point is out of synchronization with a displacement of the display unit.

Abstract: A method for detecting defects in a rotational element of a machine based on changes in measured vibration energy includes: (a) collecting vibration data over an extended period of time using vibration sensors attached to the machine; (b) processing the vibration data to generate a time waveform comprising processed vibration values sampled during sequential sampling time intervals within the extended period of time; (c) detecting multiple time blocks within the extended period of time during which the processed vibration values exhibit sustained increases at progressively increasing rates; and (d) generating alerts based on detection of the multiple time blocks during which the processed vibration values exhibit sustained increases at progressively increasing rates.

Abstract: This application provides methods and systems for automated condition-based maintenance of mechanical systems. Example systems may at least one memory coupled to one or more computer processors that are configured to receive first data from the mechanical system indicative of performance of a first component of the mechanical system, determine, using the first data, a first performance metric for the first component, determine, using the first performance metric, a probability value that a fault has occurred at the first component, and determine, using the probability value, a predicted length of time until failure of the first component.

Abstract: A testing device that includes a wear testing device, a sensor array, and a controller. The wear testing device includes a sample rotation element configured to hold and to rotate a sample; and a cutting element holder configured to hold a cutting element and to engage the cutting element with the sample as the sample rotates. The sensor array includes an acoustic emissions (AE) sensor configured to measure an acoustic signal generated during engagement between the cutting element and the sample; and a load sensor. The controller is communicably connected to the sensor array and configured to determine a toughness and a wear resistance of the cutting element using the acoustic signal, the applied load, and a wear state of the cutting element.

Abstract: A system that stores functional information indicating a capability of each of a plurality of elements located remotely from the system; identifies a function capable of being performed by linking a plurality of the elements based on the stored functional information; and transmits information corresponding to the identified function capable of being performed by linking the plurality of elements to a first device remote from the system.

Abstract: A method of operating an apparatus for analysing the condition of a machine having a part rotating with a speed of rotation, includes receiving a first digital signal dependent on mechanical vibrations emanating from rotation of the part, analyzing the first digital signal So as to detect peak amplitude values during a finite time period, the finite time period corresponding to a certain amount of revolution of the part, the certain amount of revolution corresponding to more than one revolution of the monitored rotatable part, defining amplitude ranges, sorting the detected peak amplitude values into corresponding amplitude ranges so as to reflect occurrence of detected peak amplitude values within the plurality of amplitude ranges, and estimating a representative peak amplitude value in dependence on the sorted peak amplitude values and the certain amount.

Abstract: A preventive maintenance system of a machine tool capable of making determination of presence of an abnormality mechanically and automatically, which has conventionally been performed on the basis of the feeling of an operator and detecting an abnormality more accurately in an earlier stage is provided.

Abstract: Present embodiments pertain to systems, apparatuses, and methods for analyzing and reporting movements characterized by torsional vibration in mechanical structures, machines, and machine components, through the use of an acquired video recording representing a plurality of cycles of motion, by measuring intensity values of a subset of pixels contained in a region of interest within the video recording in a plurality of frames of the video recording, wherein an application of one or more numerical algorithms to the repeating patterns in the intensity waveform enables the torsional vibration characteristics of the component to be determined.

Abstract: A monitoring device includes a process data acquisition unit configured to acquire process data indicating an operation condition of a machine having a rotating shaft, a shaft vibration value acquisition unit configured to acquire a measurement value of a shaft vibration value of the rotating shaft under the operation condition indicated by the process data, a determination model configured to determine a normal value of the shaft vibration value according to the operation condition created on the basis of the shaft vibration value measured during an operation of the machine and the shaft vibration value calculated on the basis of a predetermined shaft vibration calculation model, and a monitoring unit configured to evaluate the measurement value of the shaft vibration value on the basis of the process data, the measurement value of the shaft vibration value, and the determination model.

Abstract: A method for measuring health of a motor includes: (a) measuring, by an electrocardiogram sensor, vibration of the motor to obtain at least two electrical signals with each of the at least two electrical signals representing a harmonic of the vibration of the motor; (b) comparing each of the at least two electrical signals with a corresponding baseline; (c) based on the comparison, determining whether any one of the at least two electrical signals includes one or more artifacts wherein an artifact in a respective one of the at least two electrical signals is a deviation from a respective one of the corresponding baseline; and (d) based on any one of the at least two electrical signals including the one or more artifacts, providing an estimated time to failure for the motor.

Abstract: A turbocharger is used within a vehicle and includes an electronic actuator assembly. The electronic actuator assembly includes an actuator housing coupled to at least one of the turbine housing, the compressor housing, and the bearing housing, and an accelerometer coupled to the actuator housing. The accelerometer is adapted to detect vibration of at least one of the turbine housing, the compressor housing, the bearing housing, and the actuator housing thereby obtaining acceleration data of at least one of the turbine housing, the compressor housing, the bearing housing, and the actuator housing to determine rotational speed of the turbocharger shaft. Another embodiment includes a vibration detection assembly having an accelerometer coupled to a vehicle component and the vehicle component is one or more of a turbocharger, a valve assembly, an electronically driven compressor, and a turbocharger having an integral electric motor.

Abstract: Provided are a waveform analysis method and a waveform analysis device capable of preventing, in advance, a breakage accident during operation and preventing stoppage due to breakdown of machinery and performing efficient maintenance work by specifying a degraded part from among the parts that constitute the machinery.

Abstract: After sending a request to a payment module, via a first communication capability (e.g., BLE), to initiate a transaction with a payment accepting unit associated with the payment module, a mobile device with one or more processors, memory, one or output devices, and two or more communication capabilities obtains a notification from the payment module via the first communication capability. The notification indicates an event at the payment accepting unit associated with the payment module. In response to obtaining the notification, mobile device provides a representation of the notification to a user of the mobile device via the one or more output devices of the mobile device. For example, a message is displayed on a display of the mobile device, a vibration alert is produced by a vibration mechanism of the mobile device, an aural alert is produced by a speaker of the mobile device, and/or the like.

Abstract: Controllers that control a building's state functions can be controlled by a master controller that the controllers choose themselves. The master controller communicates with the controllers and sensors to determine when a building state should change. When the building state should change, the master controller or another controller determines the device or devices that need to modify state values of the building, and send messages to the devices so that they can change building state. If the master controller has a fault, the working controllers can choose another master controller. When a sensor indicates that a building state needs to be changed the master controller determines which device should change state, then tells the controller that is attached to the device.

Abstract: Present embodiments include but are not limited to a video camera which is able to capture and record video data of an entire machine without contacting the machine, to visually study complex motions which vary both in time and spatially at different locations on the machine, wherein filters applied to the motion present in the video recording are used to identify frequencies of importance and to visualize their impact on the operation of the machine, including by removing certain frequencies of lesser interest from the video recording.

Abstract: The present invention extends to methods, systems, and computer program products for dynamically throttling host write data rates, for example, at SSDs. Host write data is received from a host at a host write data rate. The host write data is buffered in an SSD buffer at the host write data rate. Some host write data is transferred from the SSD buffer to NAND storage at an internal NAND data rate. A host write throttle is calculated at least based on the host data rate and the internal NAND data rate. The host write throttle defines a new (e.g., increased or decreased) host write data rate. The host write throttle is sent to the host requesting the host utilize the new host write data rate. When a new host write data rate is decreased, data transfer from SSD buffer to NAND storage can be allowed to “catch up”.

Abstract: The example embodiments are directed to a system and method for forecasting anomalies in feature detection. In one example, the method includes storing feature behavior information of at least one monitoring node of an asset, including a normalcy boundary identifying normal feature behavior and abnormal feature behavior for the at least one monitoring node in feature space, receiving input signals from the at least one monitoring node of the asset and transforming the input signals into feature values in the feature space, wherein the feature values are located within the normalcy boundary, forecasting that a future feature value corresponding to a future input signal from the at least one monitoring node is going to be positioned outside the normalcy boundary based on the feature values within the normalcy boundary, and outputting information concerning the forecasted future feature value being outside the normalcy boundary for display.

Abstract: A system for monitoring and controlling an IC testing machine includes a vibration sensor, a sensor interface, and a processor coupled to the sensor interface. The vibration sensor is in mechanical communication with an IC testing machine to develop an electrical vibration signal representing mechanical vibrations generated by the operation of the IC testing machine. The sensor interface processes the vibration signal to develop vibration data that can be processed by the processor to determine whether the vibration data is indicative of an operational anomaly and, if so, to generate a machine control signal to correct an operation of the IC testing machine. Multiple vibration sensors can be used to increase the amount of vibration data available for analysis.

Abstract: Cavitation that occurs within a pump of a machine, such as truck or other work machine, can potentially damage the pump and/or other components of the machine. The machine can have a cavitation monitor configured to detect cavitation and/or cavitation damage associated with the pump based on vibration data, speed data associated with mechanical movements of the pump, and operating data associated with the machine overall. If the cavitation monitor detects cavitation and/or cavitation damage, the cavitation monitor can cause corresponding alerts to be displayed to a machine operator or other user.

Abstract: A video monitoring method and system for a blade of a wind turbine are provided. The method includes: calculating a pan value and a tilt value based on each of a plurality of circular arc angles when the blade of the wind turbine is in a stationary state, wherein the plurality of circular arc angles are set based on a circular arc curve on a rotational plane of the blade, which is formed with a first point as a center and a first distance as a radius; and setting the pan value and the tilt value of a video camera to the calculated pan value and tilt value, respectively, to capture the blade.

Abstract: A building management system including building equipment operable to affect a variable state or condition of a building. The building management system includes a controller including a processing circuit. The processing circuit is configured to obtain a vibration data set related to vibrations of the building equipment. The processing circuit is configured to analyze the vibration data set by one or more machine learning models to generate a set of probabilities. The set of probabilities is related to a probability that the vibration data set is abnormal. The processing circuit is configured to identify the vibration data set as normal or abnormal based on the set of probabilities. The processing circuit is configured to initiate a corrective action responsive to identifying the vibration data set as abnormal.

Abstract: Systems and methods for data collection in an industrial environment are disclosed. An expert graphical user interface showing representations of components of an industrial machine to which sensors are attach is disclosed. The user interface may enable a user to select at least one of the components resulting in a search of a database of industrial machine failure modes for modes that correspond to the selected component. The corresponding failure mode may be presented to the user. The selection of the component may cause a controller to reference and implement a data collection template for configuring the system to automatically collect data from sensors associated with the selected component to detect at least one of the corresponding failure modes.

Abstract: A method for diagnosing the state of wear of an electrical switching unit including an electrical unit monitoring phase. The monitoring phase uses learning data loaded previously and representative of the type of electrical unit, and initialization data corresponding to the unit to be monitored and stored in an initialization phase. The monitoring phase includes the measurement and the acquisition of a measurement curve on opening the electrical unit, the determination of the value of local descriptors of the measurement curve as a function of values of the measurement curve, of initialization data and of learning data, the determination of the positioning of local descriptor values, the determination of an overall state class as a function of the positioning values. The device and the electrical unit implement the method.

Abstract: A vehicle detection method includes using a first sensor and a second sensor coupled to a structure to detect vibrations generated by one or more vehicles that have passed over the structure. Based on the vibrations detected by the first sensor, a first plurality of peaks are extracted, and based on the vibrations detected by the second sensor, a second plurality of peaks are extracted. Each of the first plurality of peaks and the second plurality of peaks corresponds to an axle of the one or more vehicles. The first plurality of peaks and the second plurality of peaks are then computed to determine a number of vehicles that have passed over the structure.

Abstract: A method is provided for checking a sensor value of a MEMS sensor. In the process, an output signal of the MEMS sensor is detected and the sensor value is ascertained as a function of the output signal. In addition, frequency components of the output signal are examined and a determination is made as to whether the ascertained sensor value is reliable or unreliable as a function of the examination of the frequency components. If the sensor value is determined to be unreliable, the sensor value is discarded or provided with a lower weighting, or a warning it output relating to the unreliability of the sensor value or an item of information about the unreliability of the sensor value is stored.

Abstract: A method of manufacturing a plurality of parts receives cutting instructions to produce a part based on a nominal model of the part. After cutting a given part, the method measures at least one particular feature of the given part with a coordinate measuring machine and subsequently calculates an error of the given part by determining an initial deviation between the cutting instructions and the nominal model. The cutting instructions are then adjusted based on the error to obtain updated cutting instructions, where the updated cutting instructions have a reduced deviation from the initial deviation with regard to the nominal model. The method then uses the updated cutting instructions to produce another part having a reduced error deviation from the nominal model.

Abstract: A system and method for optimizing passive control strategies of oscillatory instabilities in turbulent systems using finite-time Lyapunov exponents are disclosed. The method includes receiving data from one or more measuring devices connected to the turbulent flow system incorporating a control strategy in the flow field. One or more flow characteristics are determined from the data obtained from the measuring devices. The method involves computing critical dynamics from backward time finite-time Lyapunov exponent (FTLE) field based on the one or more flow characteristics. Next, one or more regions of critical dynamics associated with impending oscillatory instabilities in the turbulent flow system are identified. The identified region of critical dynamics is disrupted the control the onset of oscillatory instabilities in the turbulent flow system.

Abstract: Degradation degree of a bearing mechanism is diagnosed. A diagnosis apparatus includes: an acquisition unit that acquires measurement data relating to vibrations corresponding to a rotation of a bearing mechanism including rolling elements between an outer ring and an inner ring; an extraction unit that extracts a feature amount from a result of performing a frequency analysis on the measurement data; an estimation unit that estimates a size of a scratch generated on the outer ring or the inner ring based on a predetermined relationship between a change of the feature amount and a size of a scratch generated on the outer ring or the inner ring, and based on the feature amount extracted by the extraction unit; and an output unit that outputs an estimation result of the estimation unit.

Abstract: A method (400) of measuring rotor blade tip deflections of turbomachine rotor blades (R1, R2) during operation using Blade Tip Timing (BTT) includes measuring (402), by a proximity sensor (202), a proximity signal caused by a moving rotor blade (R1, R2) and determining (412), by a control module (212), a Time-of-Arrival (ToA). The method (400) includes measuring a time that the shaft starts to rotate a measurable angular distance and a time the shaft has completed its rotation of the measurable distance and storing (406) timing data indicative of a plurality of ToA measurements of the rotor blade (R1, R2) and the zero crossing times.

Abstract: Method of back-calculation for determining candidate sources of data collection for data that contributes to a condition of an industrial machine are disclosed. Methods may include determining a condition of interest, following routes of data collection determined from a configuration and operational template, determining a data collection template configured for collecting and processing data from the contributing data, and updating the operational template of the data collection system in response to the determined data collection template.

Abstract: A mechanical diagnosis method for combustion abnormality using engine noise includes: calculating an Energy K and a Loudness standard deviation index (NSTD) with Kurtosis analysis by a diagnosis controller 30 from noise data measured together with a signal component by rotation excitation of an engine 10; calculating a plurality of order frequency peak order component values by a Modulation Frequency Transform; and distinguishing a cylinder where abnormal combustion occurs from a cylinder where normal combustion occurs by applying a predetermined threshold to these calculated values, thereby classifying, by Modulation Frequency analysis, problem samples of the rotation excitation and combustion excitation influence of the engine in which the abnormality state determination of the engine has been difficult only with energy distribution while overcoming the limitation of Kurtosis analysis.

Abstract: Systems and methods for data collection in an industrial environment are disclosed. An expert graphical user interface showing representations of components of an industrial machine to which sensors are attach is disclosed. The user interface may enable a user to select at least one of the components resulting in a search of a database of industrial machine failure modes for modes that correspond to the selected component. The corresponding failure mode may be presented to the user. The selection of the component may cause a controller to reference and implement a data collection template for configuring the system to automatically collect data from sensors associated with the selected component to detect at least one of the corresponding failure modes.

Abstract: A method for evaluating damage degree and a system for implementing the same. A polygonal line including a first break point, a second break point, and a maximum response point is determined from a performance curve of each layer of a building. A maximum interlayer deformation angle of each layer is calculated from a maximum interlayer displacement of each layer and its corresponding interlayer height. A safety margin of each layer is calculated from the maximum interlayer deformation angle and a safety limit deformation angle, safety margins are compared, and one polygonal line having the smallest safety margin is selected. A safety limit point is calculated using the polygonal line selected. Damage degree categories are defined using the first break point, the second break point, and the safety limit point. One damage degree category, to which the maximum response point corresponds, is decided out of the damage degree categories.

Abstract: The system generally includes a crosspoint switch in the local data collection system having multiple inputs and multiple outputs including a first input connected to the first sensor and a second input connected to the second sensor. The multiple outputs include a first and second output configured to be switchable between a condition in which the first output is configured to switch between delivery of the first sensor signal and the second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal from the first output and the second sensor signal from the second output. Multiple inputs of the crosspoint switch include a third input connected to the second sensor and a fourth input connected to the second sensor. The first sensor signal is from a single-axis sensor at an unchanging location associated with the first machine. The second sensor is a three-axis sensor.

Abstract: An abnormality cause identifying system for a device including a rotating member includes: acceleration sensors, a pickup sensor, and a temperature sensor, which observe a state of a rotating member and acquire a measurement data piece; a measurement data piece converting portion configured to convert the measurement data piece into two or more new-format conversion data pieces that are different from each other; and an abnormality cause identifying portion configured to identify an abnormality cause of the device by analyzing the conversion data pieces created by the measurement data piece converting portion.

Abstract: A method for determining whether hands of an operator of a vehicle are positioned on a hand wheel of the vehicle is provided. The method generates a first frequency content below a first frequency from a hand wheel torque signal. The method generates a second frequency content above a second frequency from the first frequency content of the hand wheel torque signal. The method generates a hands on wheel (HOW) estimate signal based on the first frequency content and the second frequency content by determining a first contribution of the first frequency content to the HOW estimate signal, determining a second contribution of the second frequency content to the HOW estimate signal, and combining the first contribution and the second contribution to generate the HOW estimate signal. The method causes a system in a vehicle to operate based on the HOW estimate signal.

Abstract: A vibration generating apparatus includes a bracket coupled to a rectangular case to form an inner space, a stator including a circuit board coupled to an upper surface of the bracket and a coil connected to the circuit board, a vibrator including a permanent magnet arranged on an exterior of the coil and a weighted body coupled to an outer circumferential surface of the permanent magnet, and an elastic member connecting the stator and the vibrator and elastically supporting the vibrator. The weighted body is polyhedral, and the vibrator moves up-and-down.

Abstract: Systems and techniques for sound emission analysis are provided. An audio sample may be detected, including an engine audio sample associated with acoustic information of a motorcycle engine. Signal processing may be performed to isolate the engine audio sample associated with sounds from the motorcycle engine from background noise within the audio sample. The isolated engine audio sample may be analyzed for a characteristic indicative of a fuel level or a speed of the motorcycle. The fuel level or the speed may be estimated or calculated based on the engine audio sample. The isolation, the signal processing, and the estimation or calculation may occur device-side on a mobile device near the motorcycle. Alternatively, the isolation, the signal processing, and the estimation or calculation may occur server-side, and the results may be transmitted back to the mobile device.

Abstract: A noise detector, a method of detecting an event at a location, and an analysis/alert engine. In one embodiment, the method includes: (1) deriving a raw signal from noise proximate the noise detector and (2) generating a noise score from the raw signal, the noise score being insufficient to reproduce a content of the raw signal, (3) detecting a number of wireless devices at the location, and (4) determining occurrence of an event at the location based on the noise score and the number of wireless devices detected.

Abstract: A system and method for collecting operational vibration data for a mining machine. The method includes, receiving at least one motion command. The method further includes, controlling at least one component based on the at least one motion command. The method further includes determining, by an electronic processor, at least one predicate parameter. The method further includes determining, by the electronic processor, whether the predicate parameter is true. The method further includes, while the at least one component is being controlled based on the motion command and the at least one predicate parameter is true, receiving, from a plurality of sensors, each of the plurality of sensors positioned at one of a plurality of measurement points on the at least one component of the mining machine, a plurality of vibration data sets.

Abstract: Generation of feedback for a part production process based on vibrational testing of parts produced by the part production process. A response characteristic may be identified from vibrational data regarding the parts that is correlated to a process variable of the part production process. The response characteristic may relate to a state of the process variable such that identification of the response characteristic may allow for generation of feedback regarding adjustment of a process control. Such response characteristic may relate to a vibrational metric regarding vibrational data and may comprise identifying a trend in data between a plurality of parts. Also presented are approaches to evaluation of parts, including batch evaluation of parts in which collective vibrational data regarding a plurality of parts belonging to a batch are analyzed. The process control aspects may be performed independently or in combination with part evaluation.