An apparatus or method for calibrating a battery emulator is proposed. The battery emulator emulates a plurality of cells connected in series, wherein each emulated cell has taps over which at least one emulated quantity is tapped, wherein the apparatus comprises a switching apparatus via which a calibration standard is switchably connectable with different taps.

A simulation apparatus includes a database configured to a set line parameter for a system line configuring a power system; a parameter error detector configured to compare surveyed data measured in the system line and the line parameter to detect error of the line parameter; a system analysis simulator configured to perform a system analysis simulation based on the surveyed data and the line parameter; and a monitor configured to display an error detection result of the line parameter from the parameter error detector and a system analysis simulation result performed in the system analysis simulator.

A battery simulator for simulating the status of a battery connected to a load component includes a controllable current source, a voltage detector, and a gain controller. The controllable current source supplies an output current to the load component according to a current control signal. The voltage detector measures a detection voltage that is generated in response to the output current flowing through the load component. The gain controller is electrically connected to the controllable current source and the voltage detector and generates the current control signal according to a voltage control signal, a gain control signal and the detection voltage.

A data intersection is assessed of data to be used between at least two parties. The data is to be used in an artificial intelligence (AI) application. Evaluation is performed of set of instructions required for the AI application, where the evaluation creates a modified set of instructions where operands are symbolically associated with corresponding privacy levels. Using the assessed data intersection and the modified set of instructions, a mapping is created from the data to operands with associated privacy metrics. The mapping treats overlapping data from the assessed data intersection differently from data that is not overlapping to improve privacy relative to without the mapping. The AI application is executed using the data to produce at least one parameter of the AI application. The at least one parameter is output for use for a trained version of the AI application. Apparatus, methods, and computer program products are described.

A method predicts the battery state in “real-time”, which is based on a nodal algorithmic model. Under this method, the battery is modeled as a network mesh of both linear and non-linear electrical branch elements. Those branch elements are interconnected through a set of nodes. Each node can have several branches either originating or ending into it. The branch elements may represent loosely some particular function or region of the battery or they may serve a pure algorithmic function. The non-linear behavior of the elements may be described either algorithmically or through lookup tables. Kirchhoff's laws are applied on each node to describe the relationships between currents and voltages. The system may be connected with a battery so that it can receive measured values at the battery, and the system yields state-of-charge, state-of-health, and state-of-function signals.

A fault rules engine generates a plurality of fault rules files. Each of the fault rules files is associated with a respective cell type of a plurality of cell types in an integrated circuit (IC) design, and each fault rules file of the plurality of fault rules files can include data quantifying a nominal delay for a given two-cycle test pattern of a set of two-cycle test patterns and data quantifying a delta delay for the given two-cycle test pattern corresponding to a given candidate defect of a plurality of candidate defects for a given cell type in the IC design. An IC test engine generates cell-aware test patterns based on the plurality of fault rules files to test a fabricated IC chip that is based on the IC design for defects corresponding to a subset of the plurality of candidate defects characterized in the plurality of fault rules files.

The invention relates to a device for testing, in particular high-frequency testing, a test item, for example an electrical machine or a converter, comprising:

a simulation unit for simulating an electrical energy accumulator using a simulation model; and

an electrical connection line, via which the test item can be connected to the simulation unit; wherein the device comprises compensation impedance for compensating for an impedance in accordance with a line inductance of the connection line.

An example method comprises receiving historical sensor data from sensors of components of wind turbines, training a set of models to predict faults for each component using the historical sensor data, each model of a set having different observation time windows and lead time windows, evaluating each model of a set using standardized metrics, comparing evaluations of each model of a set to select a model with preferred lead time and accuracy, receive current sensor data from the sensors of the components, apply the selected model(s) to the current sensor data to generate a component failure prediction, compare the component failure prediction to a threshold, and generate an alert and report based on the comparison to the threshold.

The present disclosure relates to a system, an apparatus, and a method for managing health condition of at least one rotating system. The method includes receiving, by a processing unit, operational data associated with the rotating system in real-time, from one or more sensing units. The operational data includes parameter values corresponding to an operation of the rotating system. Further, a virtual replica of the rotating system is configured using the operational data. A behavior of the rotating system is simulated on a simulation instance of the rotating system based on the configured virtual replica. The simulation results are analyzed to determine an abnormality in the health condition of the rotating system. The abnormality corresponds to a health status of an internal component of the rotating system. Further, a notification indicating the abnormality is generated, on a Graphical User Interface.

A method, system, and computer program product for detecting and monitoring a signal is provided. The method includes detecting an alignment point for a periodic signal segment of a periodic signal generated by an apparatus being monitored for standard functionality In response, the apparatus is activated from a period prior to the alignment point to an end point of the periodic signal segment and a first point of the periodic signal segment is located. Likewise, a second point of an additional periodic signal segment of the periodic signal is located. The periodic signal is normalized based on results of locating the first point and the second point.