A method, system, and non-transitory computer readable medium describing an autoencoder that creates a reduced feature space from healthy power electronics devices for training. Devices under test are then encoded and compared to the encoded features of the healthy devices to determine health of the other devices. Contextual information is used to build multiple models that compare power electronics devices from similarly operated vehicles with one another.

Apparatus and associated methods relate to generating a wiring schema with more than one safety device sharing at least one test signal through one or more external terminal blocks when the number of terminals required by safety devices exceeds the number of available terminals of a safety controller. In an illustrative example, the method may include determining a total number of terminals A of safety devices to be connected to a safety evaluation device having a number of terminals B. If A is greater than B, the method may then include generating a wiring schema that one or more external terminal blocks may show indicia of electrical connections between an identified set of safety devices and a shared terminal of the safety evaluation device associated with that set. By using the method, the number of devices that can be connected to the safety evaluation device may be expanded.

The present disclosure relates to a battery diagnosis system including a processor configured to: receive high-voltage battery information of a parked car; measure impedance of a battery through the received battery information; and determine, based on a comparison between a normal battery impedance and an abnormal battery impedance, that a battery having an abnormal battery impedance is an abnormal battery.

In an example, a computer-implemented method includes generating test data that is configured to be identified as data of interest at one or more visibility points in a network having a plurality of network routes. The method also includes injecting the test data into each network route of the plurality of network routes at a location upstream from the one or more visibility points, and determining, for each network route through which the test data travels, whether the test data is identified at the one or more visibility points. The method also includes outputting, for each network route through which the test data travels, data that indicates whether the test data is identified at the one or more visibility points as data of interest.

A monitoring apparatus according to the present invention includes: a control unit configured to confirm whether a measured value detected from a monitored object satisfies a preset condition, and execute processing for the monitored object set correspondingly to the condition in a case where the measured value satisfies the condition; and a recording processing unit configured to record an execution status of the processing for the monitored object into preset schedule data.

According to one or more embodiments of the disclosure, a device in a network obtains parameters for entropy testing of industrial equipment that controls a physical process. Entropy is added to commands sent to the industrial equipment during the entropy testing. The device receives packets that were generated during the entropy testing of the industrial equipment and include sensor data regarding the physical process. The device determines whether the sensor data is inconsistent by analyzing the sensor data using a machine learning model that models the physical process. The device initiates a corrective measure, when the sensor data is determined to be inconsistent.

The embodiments of the present disclosure relate to a device and method for inspecting process and an electronic control device. The device for inspecting process may include a converting controller configuring to be controlled for, when a preset operation is performed in a serial communication, converting into at least one process monitoring message by inputting a specific value into a dummy area included in at least one message corresponding to the preset operation, and an inspecting controller configuring to be controlled for inspecting a process based on the process monitoring message.

An input/output unit is a test pulse width calculation device for calculating a time width of a test pulse for use in a failure diagnosis test of a PLC. The input/output unit includes a memory that stores a threshold for detection of noise superposed on a signal to be input to an input circuit of the PLC, and a processor. The processor includes a voltage value acquirer and a test pulse width calculator. The voltage value acquirer acquires a measurement value of voltage in an input path of the signal to be input to the input circuit. The test pulse width calculator calculates, based on the measurement value of voltage and the threshold, a reference noise width that is a reference for calculating a test pulse width, and calculates the test pulse width that is larger than the calculated reference noise width.

A time-series data processing device 100 includes an analysis unit 121 that sets, on the basis of an analysis result with respect to first time-series data, a given section of the first time-series data, and an output unit 122 that, on the basis of the first time-series data included in the set section, controls output of information based on an analysis result with respect to second time-series data.

Methods and systems for performing a validation process on a part to be process are provided. An identifier associated with the part is received. A listing of at least one automated process based on the identifier is displayed. An indication of a selected automated process from the listing is received. First instructions are transmitted to an automated process device for performing an automated processing program in accordance with the selected automated process. Processing results associated with the part are received from the automated process device. Second instructions are transmitted to a validation process device for performing a validation program in accordance with a validation process associated with the selected automated process. Validation results associated with the part are received from the validation process device. The processing results and the validation results are stored in association with the identifier.