Operation for performing diagnostics, such as vehicle diagnostics including short circuit and low impedance diagnostics during a high-voltage (HV) battery pre-charging a power-net of the vehicle and including insulation resistance monitoring diagnostics for measuring an insulation resistance between the power-net and another power-net, with reduced processing time includes measuring a physical parameter (voltage or current signal) as the parameter is being generated by a device-under-test to which the diagnostic process pertains. The diagnostic process requires a stable value of the parameter. The parameter variates while being generated during a beginning time and is stable while being generated during an ending time. While the parameter is being generated during the beginning time, a stable value of the parameter which the parameter will have during the ending time is predicted. The stable value of the parameter is predicted based on variation of measured values of the parameter during the beginning time.

This application discloses a computing system implementing an automatic test pattern generation tool to convert a transistor-level model of a library cell describing a digital circuit into a switch-level model of the library cell, generate test patterns configured to enable detection of target defects injected into the switch-level model of the library cell, and bifurcate the test patterns into a first subset of the test patterns and a second set of the test patterns based on detection types for the target defects enabled by the test patterns. The computing system can implement a cell model generation tool to perform an analog simulation of the transistor-level model of the library cell using the second subset of the test patterns to verify that they enable detection of target defects, while skipping performance of the analog simulation of the transistor-level model of the library cell using the first subset of the test patterns.

A battery pack maintenance system includes maintenance circuitry, image input circuitry, a display, and user input circuitry. The maintenance circuitry is configured to perform a maintenance operation on a battery pack having a plurality of batteries. The image input circuitry is configured to receive an image of the battery pack. The display is configured to display the image. The user input circuitry is configured to receive a battery selection user input identifying a selected battery of the battery pack. The maintenance circuitry is configured to associate the battery selection user input with a maintenance operation performed on the selected battery.

Probe systems configured to test a device under test and methods of operating the probe systems are disclosed herein. The probe systems include an electromagnetically shielded enclosure, which defines an enclosed volume, and a temperature-controlled chuck, which defines a support surface configured to support a substrate that includes the DUT. The probe systems also include a probe assembly and an optical microscope. The probe systems further include an electromagnet and an electronically controlled positioning assembly. The electronically controlled positioning assembly includes a two-dimensional positioning stage, which is configured to selectively position a positioned assembly along a first two-dimensional positioning axis and also along a second two-dimensional positioning axis. The electronically controlled positioning assembly also includes a first one-dimensional positioning stage that operatively attaches the optical microscope to the positioned assembly and a second one-dimensional positioning stage that operatively attaches the electromagnet to the positioning assembly.

Methods and systems to determine a presence or absence of engine misfire or spark plug fouling are presented. In one example, rates of change in engine speed are arranged in engine data blocks and root mean square values for the rates of change in engine speed are determined. The presence or absence of engine misfire or spark plug fouling may be based at least in part on the root mean square values.

A semiconductor device includes: a semiconductor body; an electrical device formed in an active region of the semiconductor body, the active region including an interface between the semiconductor body and an insulating material; and a sensor having a bandwidth tuned to at least part of an energy spectrum of light emitted by carrier recombination at the interface when the electrical device is driven between accumulation and inversion, wherein an intensity of the emitted light is proportional to a density of charge trapping states at the interface, wherein the sensor is configured to output a signal that is proportional to the intensity of the sensed light. Corresponding methods of monitoring and characterizing the semiconductor device and a test apparatus are also described.

The present invention provides a classification method and system for rechargeable batteries based on stable charging current or current leakage. A charging current should be zero theoretically when a rechargeable battery is fully charged, however, due to self-discharging effect, there exists a current leakage even after the battery is fully charged. Rechargeable batteries can be classified based on their stable charging current after being fully charged. Different classified rechargeable batteries can be adopted for different purposes.

The probe assembly operates with a circuit board test apparatus and includes a main test probe and a secondary test probes. The probe assembly is capable of moving in X, Y and Z directions relative to a circuit board being tested (UUT). The two test probes are movable linearly relative to each other and rotatable together so as to accurately locate the two probes on selected pins on the UUT, for receiving signals from the selected pins. The received signals are transmitted to a display apparatus.

Systems and methods for health monitoring and fault detection in power distribution networks are provided. Aspects include providing a first power supply coupled to a power channel, providing a load coupled to the power channel, providing a transmitting sensor coupled to the power channel between the first power supply and the load, providing a receiving sensor coupled to the power channel between the transmitting sensor and the load, operating the transmitting sensor to provide an AC test signal to the power channel, the AC test signal comprises a predefined test signal pattern, operating the receiving sensor to sense, from the power channel, a continuous power signal including the AC test signal, analyzing, by the controller, the AC test signal to determine a fault of the power channel based on comparing the predefined test signal pattern with a predefined nominal probe signal pattern corresponding to a specific network configuration.

A battery monitoring apparatus includes an electric power supply terminal connected with a first electrical path, a voltage input terminal connected with a second electrical path, a signal control unit connected with a third electrical path, a response signal input terminal connected with a fourth electrical path, and a calculating unit. The signal control unit is configured to cause a predetermined AC signal to be outputted from a storage battery with the storage battery itself being an electric power source for the output of the predetermined AC signal. The calculating unit is configured to calculate, based on a response signal of the storage battery to the predetermined AC signal, a complex impedance of the storage battery. Moreover, at least one of the first to the fourth electrical paths is merged with at least one of the other electrical paths into an electrical path that is connected to the storage battery.