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: 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: 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: 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 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: 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 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 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 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 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: 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: 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.

Abstract: The present disclosure relates to a method for determining a process variable of a medium by means of a vibronic sensor. In a first operating mode, an oscillatable unit is excited by a first electrical excitation signal, such that it executes mechanical oscillations, and the mechanical oscillations of the mechanically oscillatable unit are received and converted into a first electrical, received signal having a first frequency. Furthermore, the first received signal is evaluated relative to the process variable. In a second operating mode, mechanical oscillations of the oscillatable unit are received and converted into a second electrical, received signal, wherein a second frequency of the second electrical, received signal is ascertained, and wherein the second frequency is associated with a first disturbing influence for the vibronic sensor. Furthermore, the present disclosure relates to an apparatus, which is suitable for performing a method of the present disclosure.

Abstract: A power-transmitter-unit includes a power-transmitting-coil for wirelessly providing power to a power-receiver-unit, and a resonant-capacitor connected to the power-transmitting-coil, such that together they define an LC circuit. The LC circuit includes a first-end and a second-end. A controller defines a foreign-object-detection-mode of operation, wherein, in the foreign-object-detection-mode of operation, the first-end of the LC circuit is connected to the second-end of the LC circuit such that the LC circuit is short-circuited and defines a closed-LC-circuit, and the controller is configured to receive a coil-current-signal that is representative of the current through the closed-LC-circuit.

Abstract: A method includes acquiring, by a vibro-acoustic sensor in a vicinity of a machine, vibro-acoustic signals due to an operation of the machine. The acquired vibro-acoustic signals are analyzed so as to estimate at least two operational parameters of the machine, selected from a group of the operational parameters consisting of an uptime factor, a production speed factor, and a production quality factor of the machine. An overall equipment effectiveness (OEE) of the machine is computed, the computed OEE including at least one of a minimum and a product of the at least two estimated operational parameters.

Abstract: A system for detecting radome damage. The system comprises a sensor unit and a processing unit. The sensor unit is configured to continuously register external impacts on a radome. The processing unit is electrically connected to the sensor unit. The processing unit is configured to compare the external impacts registered by the sensor unit with reference data. The processing unit is further formed to determine, based on the comparison, whether damage to the radome has occurred due to one or more events associated with the external impacts. Furthermore, a radome comprising the system, a flying object and a corresponding method are provided.

Abstract: Systems and methods compute dysfunctions via amplitude envelopes that deviate from a mean (normal) state behavior. The envelope function is constructed from a recursive application of the maximum signal value within a given window size. The aforementioned operations are causal and computationally affordable as relative short moving windows are required to trail the current point. Therefore, the proposed envelope and dysfunction calculations are amenable for any source of data streams measured at high sample rates. The effectiveness of the computing is validated as representing multiple physics in real time field drilling operations.

Abstract: The present invention includes: collecting information about a change in energy magnitude according to time measured with the driving device in normal operation separately for each of a peak period and a mean period; collecting information about a change in energy magnitude according to time measured with the driving device in operation before the driving device breaks separately for each of the peak period and the mean period; setting a mean fault of the mean period on the basis of the information collected; and collecting information about a change in energy magnitude according to time measured in real time with the driving device in operation separately for each of the peak period and the mean period and of detecting the driving device in an abnormal state when the collected energy values in the mean period exceed the peak fault of the mean period set in the setting.

Abstract: The present invention includes: collecting information about a change in energy magnitude according to time measured with the driving device in normal operation separately for each of a peak period and a mean period; collecting information about a change in energy magnitude according to time measured with the driving device in operation before the driving device breaks separately for each of the peak period and the mean period; setting a peak fault of the peak period on the basis of the information collected; and collecting information about a change in energy magnitude according to time measured in real time with the driving device in operation separately for each of the peak period and the mean period and of detecting the driving device in an abnormal state when the collected energy values in the peak period exceed the peak fault of the peak period set in the setting.

Abstract: An equipment monitoring system includes a control unit that switches a detection operation mode of a detector between a simple detection mode where the detector periodically performs a momentary detection operation, and a detailed detection mode where the detector performs a continuous detection operation. In the simple detection mode, a diagnosis unit diagnoses whether an operating state of monitored equipment is a normal state or a state requiring caution based on results of detection by the detector. In the simple detection mode, the control unit maintains the simple detection mode when the diagnosis unit has diagnosed that the operating state of the monitored equipment is a normal state, and switches the detection operation mode of the detector from the simple detection mode to the detailed detection mode when the diagnosis unit has diagnosed that the operating state of the monitored equipment is a state requiring caution.

Abstract: A method and system for inspecting a structure. The method may comprise sending a pulsed wave signal into the structure from a transmitter array. The method may detect a response signal in response to sending the pulsed wave signal into the structure at a group of receivers in a receiver array. The method may identify a group of time delays between sending the pulsed wave signal and may detect the response signal generated in response to the pulsed wave signal at the group of receivers. The method may identify a group of intensities for the response signal detected at the group of receivers. The method may determine a distance to a reflector within the structure using the group of time delays and the group of intensities.

Abstract: According to an embodiment, a structure evaluation system includes a plurality of sensors, a position locator, a velocity calculator, and an evaluator. The sensors detect an elastic wave generated from a structure. The position locator derives a wave source distribution of the elastic waves generated from the structure, on the basis of the elastic waves. The velocity calculator derives a propagation velocity of the elastic wave generated from the structure, on the basis of the elastic waves. The evaluator evaluates the soundness of the structure on the basis of the wave source distribution and the propagation velocity of the elastic waves.

Abstract: A cell control system capable of estimating a cause of an alarm by estimating an influence of noise in a plurality of machines includes a machine operation instruction unit for transmitting an operation instruction to a managed manufacturing machine, a noise value collection unit for collecting detected noise information, an operation information collection unit for collecting operation information of a manufacturing machine, a learning unit for creating a learning model by performing machine learning using the collected operation information collected as an input signal and the detected noise information as an instruction signal, an estimation unit for analyzing the learning model to estimate operation information corresponding to a noise factor, and an operation instruction change unit for instructing the machine operation instruction unit to change instruction content based on the operation information corresponding to the noise factor.

Abstract: [Problem] To detect touch coordinates, without detection errors and without using a special pen, on a substrate such as a touch panel. [Solution] This coordinate detection method comprises: calculating a ratio between the short-term average (STA) and long-term average (LTA) of output signals from at least three vibration detectors installed apart from each other at predetermined distances on a substrate which has a uniform thickness and is made from a homogeneous material that allows the propagation speeds of oscillating waves to be constant; calculating, as arrival times, the times at which the STA/LTA ratio of the three vibration detectors by oscillating waves generated by touching the substrate exceeds a predetermined threshold value; and calculating touch position coordinates on the basis of each of the arrival times, the propagation speed of the oscillating waves, and the distances at which the three vibration detectors are spaced apart from each other.

Abstract: Provided is a wireless sensor node which includes a sensor to convert a physical quantity into an electric signal to measure the physical quantity, a filter to extract a signal containing a predetermined frequency from the electric signal, a transmitter to transmit data based on the frequency extracted by the filter, a receiver to receive a command to be transmitted from an outside in a wireless manner, and a control unit to control a frequency to be extracted by the filter based on the command.

Abstract: The proposed mechanical method of turbocompressor surge detection uses vibration signals from vibration monitoring equipment mounted on the compressor components to detect a surge event and provide antisurge control thereby. This method utilizes only mechanical information to identify surge, as compared to present day antisurge controllers that use compressor thermodynamic information such as flow, pressure, and temperature to locate a compressor's operating point on a compressor map compared to a surge region.

Abstract: An apparatus and method for measuring the superposition of a plurality of sound waves propagating within a conduit containing a fluid having a plurality of transducers positioned substantially parallel to the flow direction along the wall of the conduit. The system includes a computing device for modeling the superposition of a plurality of sound waves as they propagate within the conduit.

Abstract: The system generally includes a crosspoint switch in a local data collection system having multiple inputs and multiple outputs including a first input connected to a first sensor and a second input connected to a second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of a first sensor signal and a second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal and the second sensor signal. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history. The local data collection system is configured to manage data collection bands.

Abstract: The system generally includes a crosspoint switch in a local data collection system having multiple inputs and multiple outputs including a first input connected to a first sensor and a second input connected to a second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of a first sensor signal and a second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal and the second sensor signal. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history. The local data collection system is configured to manage data collection bands.

Abstract: To provide an arrangement capable of detecting spindle failure in a machine tool using an existing servo control device, without providing separate external sensors, a failure analysis device or the like. A servo control device (22), which detects failure of a spindle of a machine tool including the spindle, a feed shaft, and a positioning servomotor that is installed to the feed shaft and is for deciding the position of the spindle, includes: a feedback acquisition unit (222) that acquires a feedback signal of the positioning servomotor; and an analysis/detection unit 226 that analyzes the feedback signal acquired to detect failure of the spindle.

Abstract: A problem of the present invention is to provide a vibration analysis program capable of analyzing bidirectional exchanges between a distribution amount and a difference amount with respect to an external system of the part in a part modeled as a finite element, in which the difference amount accumulation characteristic and the distribution amount accumulation characteristic are distributed.