Abstract: A method of fault diagnosis during testing of a turbine unit includes a) obtaining measurement data from turbine sensors and testing sensors, b) calculating at least one parameter value based on measurement data, c) determining a deviation of the measurement data and the at least one parameter value by comparing the measurement data and the at least one parameter value with predetermined reference data, and d) matching the determined deviation to a plurality of predetermined fault signatures in order to detect a fault. The plurality of predetermined fault signatures includes a first set of fault signatures and a second set of fault signatures, the first set of fault signatures corresponding to turbine sensor faults and/or testing sensor faults and assumed fault-free turbine components, the second set of fault signatures corresponding to turbine component faults and assumed fault-free turbine sensors and testing sensors.

Abstract: The present invention relates to systems and methods for monitoring agricultural products. In particular, the present invention relates to monitoring fruit production, plant growth, and plant vitality. According to embodiments of the invention, a plant analysis system is configured determine a spectral signature of a plant based on spectral data, and plant color based on photographic data. The spectral signatures and plant color are associated with assembled point cloud data. Morphological data of the plant can be generated based on the assembled point cloud data. A record of the plant can be created that associates the plant with the spectral signature, plant color, spectral data, assembled point cloud data, and morphological data, and stored in a library.

Abstract: Automatic wavelength or angle pruning for optical metrology is described. An embodiment of a method for automatic wavelength or angle pruning for optical metrology includes determining a model of a structure including a plurality of parameters; designing and computing a dataset of wavelength-dependent or angle-dependent data for the model; storing the dataset in a computer memory; performing with a processor an analysis of the dataset for the model including applying an outlier detection technology on the dataset, and identifying any data outliers, each data outlier being a wavelength or angle; and, if any data outliers are identified in the analysis of the dataset of the model, removing the wavelengths or angles corresponding to the data outliers from the dataset to generate a modified dataset, and storing the modified dataset in the computer memory.

Abstract: According to one embodiment, an arithmetic processor generates unknown code distribution information, for an unknown test code to which no failure mode has been specified, and determines whether labeling of the unknown code distribution information is performable. The arithmetic processor determines whether the unknown code distribution information agrees to known code distribution information, when labeling of the unknown code distribution information is performable. The arithmetic processor determines whether the unknown code satisfies a classification minimum requirement of the agreed known code. The arithmetic processor presents a content of EFA measurement that assumes a failure mode corresponding to the known code, when the unknown code distribution information agrees to the known code distribution information, and the unknown code satisfies the classification minimum requirement of the known code.

Abstract: Provided are a battery control device which can estimates an SOC of a battery with a high accuracy, and an electric motor vehicle system. The battery control device (190) includes a feature amount calculation unit (152) which calculates a feature amount indicating a charging/discharging pattern of the battery, a first charging state amount calculation unit (151-1) which calculates a first charging state amount (SOCi) of the battery on the basis of a first battery state amount, a second charging state amount calculation unit (151-2) which calculates a second charging state amount (SOCv) of the battery on the basis of a second battery state amount, and a third charging state amount calculation unit (151-3) which calculates a third charging state amount (SOC(t)) on the basis of the feature amount, the first charging stage amount, the second charging stage amount.

Abstract: A filtering device receives a pressure signal (P) from a pressure sensor in a fluid containing system, the pressure signal (P) comprising first pulses originating from a first periodic pulse generator and second pulses. The device acquires a reference signal which is indicative of a current operating frequency of the first periodic pulse generator. The device identifies, based on the reference signal, a plurality of harmonics (v1-v8) associated with the current operating frequency, computes correlation values (?1-?8) between the harmonics and the pressure signal (P) within a time window in the pressure signal (P), and generates a filtered signal by subtracting, as a function of the correlation values (?1-?8), the harmonics from the pressure signal (P). The use of correlation values is a direct, fast, robust and computation-efficient approach for estimating the signal contribution (d) from first pulses in the pressure signal (P).

Abstract: Systems and methods for training models across multiple sensing units in a chemical sensing system are described. The chemical sensing system comprises at least one computer processor and at least one computer readable medium including instructions that, when executed by the at least one computer processor, cause the chemical sensing system to perform a training process. The training process comprises accessing a training dataset including first values representing first signals output from a first chemical sensing unit of multiple chemical sensing units, and second values representing second signals output from a second chemical sensing unit of the multiple chemical sensing units, and training a set of models to relate the first values and the second values to a mutual latent representation using the training dataset.

Abstract: A temperature-sensing apparatus for sensing the temperature of an electrical conductor (31), comprising a sensor frame (210) including a frame body (2101) and a channel (2102) adapted to accommodate the electrical conductor (31). At least a portion of a temperature sensor is received in a chamber (2103) of the sensor frame (210). At least a portion of a thermal contact member is disposed between the electrical conductor (31) and the temperature sensor and configured to enhance thermal-contact therebetween. At least a portion of the thermal contact member is radially pressable against the electrical conductor (31).

Abstract: A diagnostic system for a DC-DC voltage converter includes a microcontroller having a first diagnostic handler application and first and second applications. The first application sets a first non-recoverable diagnostic flag associated with the DC-DC voltage converter to a first encoded value having each nibble thereof selected from an odd Karnaugh set of binary values. The second application sets a second non-recoverable diagnostic flag to a second encoded value having each nibble thereof selected from an even Karnaugh set of binary values. The first diagnostic handler application sets a first master non-recoverable diagnostic flag to a first encoded fault value if the first non-recoverable diagnostic flag is equal to a second encoded fault value, or the second non-recoverable diagnostic flag is equal to a third encoded fault value.

Abstract: A calibration work support device includes a calibration target setter that sets a target value of a simulation signal input to a device in calibration of the device, a simulation signal acquirer that acquires an input value based on the simulation signal, a proper range determiner that determines whether the input value is within a proper range for the target value, a proper range notifier that notifies a user whether the input value is within the proper range, an output value acquirer that acquires an output value output from the device in accordance with the simulation signal, a condition determiner that determines whether at least one of the input value and the output value satisfies a predetermined condition, and a recorder that records the input value and the output value if at least one of the input value and the output value satisfies the predetermined condition.

Abstract: A system for monitoring a fill level of a container includes a wireless module disposed on the container including an enclosure, a processor and a wireless transceiver disposed within the enclosure, and a cable mounted to the enclosure. A first pressure sensor is attached to an end of the cable distal from the enclosure and a second pressure sensor is attached to an opposite end within the enclosure. The enclosure is mounted outside of the container. The cable is inserted into the container such that the first pressure sensor is disposed near a bottom of the container. The first pressure sensor measures a pressure at the bottom of the container. The second pressure sensor measures a pressure outside of the container. The readings from the first pressure sensor and the second pressure sensor are cross-correlated to determine a net pressure for use in calculating the fill level of the container.

Abstract: An identity of a container coupled to a content level sensor device is received. A plurality of signal parameters associated with the container is identified. The signal parameters are transmitted to the content level sensor device, wherein the signal parameters are indexed according to a level of content in the container.

Abstract: A system for managing modular analyzing devices 110a-c includes: a means 161 for acquiring the serial number of modules included in each analyzing device; a means 161 for acquiring information on an expendable part included in each module; a storage section 152 for storing the acquired serial number and expendable-part information in the state of being associated with a system controller to which the module corresponding to the serial number is connected; a transfer detector 164 for detecting a transfer of an operation module based on the serial numbers associated with each system controller; and an information manager 163 for changing the association of the expendable-part information in the storage section, from the state of being associated with the system controller on the giving end of the transfer, to the state of being associated with the system controller on the receiving end of the transfer, when the transfer is detected.

Abstract: Methods and measurements systems are disclosed relating to dynamic measurement prioritization by multiple software interfaces. A first software interface with a low priority may be conducting a first measurement on a device under test (DUT) through a driver connected to a measurement device. A second software interface with a higher priority may initiate a request to conduct a second measurement on the DUT. In response, the driver may automatically determine that the second software interface has a higher priority than the first software interface and may halt the first measurement and conduct the second measurement. The driver may notify the first software interface that its access to the measurement hardware has been revoked, and the first software interface may enter a monitoring mode to monitor the results of the second measurement.

Abstract: A system and method are provided for testing features of an embedded system. The system includes a low-powered computing device communicatively coupled to a control application interface, a sensor interface, and a robotic interface. The low-powered computing device may receive sensor signals generated during a test, provide sensor data corresponding to the sensor signals, receive commands for the test, and provide instructions for movement of a robotic handler corresponding to at least one of the commands for the test. The system also includes a computing device communicatively coupled to the control application interface, an image processing interface, and a database interface. The computing device may receive sensor data, receive image data corresponding to images of the embedded system captured during the test, receive tests capable of being performed, and provide commands for the test.

Abstract: A method of operating a position encoder apparatus, including a scale having features defining position information and a readhead for reading the scale. The method includes: calculating extrapolated position information from at least one previous reading of the scale; comparing an extrapolated position with a position calculated from a reading of the scale to determine any discrepancy between them; using the extrapolated position information whether or not there is a discrepancy; and maintaining a record of any discrepancies.

Abstract: According to an example aspect of the present invention, there is provided a method in connection with a radiosonde, the method comprising measuring a humidity of the atmosphere at several different altitudes in the atmosphere, measuring a pressure at several different altitudes in the atmosphere or calculating the pressure from an altitude of the radiosonde obtained from GPS or other satellite navigation system, measuring or estimating a temperature of a humidity sensor, and measuring a relative humidity by a capacitor with a polymer insulator, wherein the relative humidity value is corrected based on a correction factor, which is a function of pressure, humidity sensor temperature, and relative humidity, such that the humidity value decreases when pressure decreases.

Abstract: A method for in-situ calibration of an analog measurement transmission path coupled with the determining and/or monitoring of a process variable of a medium is disclosed, wherein analog electrical signals are transmitted via the measurement transmission path from a control/evaluation unit to a control unit, wherein the control/evaluation unit is associated with a sensor, which determines and/or monitors the process variable based on at least one component sensitive for the process variable. The sensor is operated either in a measuring mode or in a simulation mode, wherein, in the simulation mode, the control/evaluation unit outputs for a set time span an analog electrical signal, which is unequivocally recognizable as simulated and is recognized and registered by control unit, and the calibrating of the measurement transmission path is performed, in that the control unit determines the deviation between the analog electrical signal and the registered analog electrical signal.

Abstract: A component-based system and method is provided for generating and processing multi-dimensional gridded mesoscale meteorological projections. In embodiments, the system includes four integrated processes for data storage, retrieval, manipulation, communication, processing, and end user application tasks. Two or more components may interface for performing tasks. A data component stores, retrieves, and manipulates data utilizing functions under conditions of variable internet and non-internet connectivity. A communications component transmits and receives data to/from the data component for manipulation by the processing component. The processing component includes an artificial intelligence machine learning component and logic for manipulating the data to generate gridded mesoscale meteorological projections arrayed spatially and temporally.

Abstract: Various embodiments disclosed help to implement integrity verification of sensors and signaling lines of the sensors. According to various embodiments, this is achieved by performing an analysis of a noise signal on the signaling line and transmitting check data indicative of a result of the analysis.