A method for detecting errors of a first field-programmable gate array (FPGA) program includes: receiving, by a monitoring program executed on a processor connected to an FPGA on which the first FPGA program is executed, a signal value read out from the first FPGA program; and comparing, by the monitoring program executed on the processor, the signal value to a reference value from a source other than the first FPGA program in order to detect errors of the first FPGA program.

A system and method for performing speaker load diagnostics. A digital signal processor generates a diagnostic tone that is provided to the speaker. The diagnostic tone is generated using an oscillator internal to the digital signal processor. The digital signal processor receives current and voltage data from the speaker based on the diagnostic tone, and processes the current and voltage data to determine whether a fault condition exists in the speaker.

A measurement system is described. The measurement system includes a test-and-measurement (T&A) circuit and an error analysis circuit. The T&A circuit is configured to generate measurement data. The measurement data includes at least one of analysis data and configuration data. The analysis data is associated with an analysis of at least one input signal. The configuration data is associated with at least one of a physical measurement setup of the measurement system and measurement settings of the measurement system. The T&A circuit further is configured to generate a graphic representation of the measurement data. The error analysis circuit is configured to identify errors or anomalies associated with the measurement data based on the graphic representation. Further, a measurement method is described.

A test and measurement system for analyzing a device under test, including a database configured to store test results related to tests performed with one or more prior devices under test, a receiver to receive new test results about a new device under test, a data analyzer configured to analyze the new test results based on the stored test results, and a health score generator configured to generate a health score for the new device under test based on the analysis from the data analyzer.

A ground fault detection circuit can include a band-pass filter that can have a first node and a second node that can be coupled to an earth ground. The first node can be coupled to a local ground of an automatic test equipment (ATE) system for an electrical device that can be coupled via at least one wire to the ATE. The band-pass filter can be configured to pass and amplify a test current signal established at the first node in response to a coupling of one of a conductor of the at least one wire carrying the test current signal to the local ground, and a conductive element of the electrical device carrying the test current signal to the local ground. A fault alert signal can be provided to provide an indication of ground fault based on a comparison of the amplified test current signal.

Embodiments of the present disclosure relate to a method and an apparatus of analyzing data, and a storage medium. The method of analyzing data includes: obtaining a single shmoo plot of each pin of a memory particle; and constructing an integrated shmoo plot of the memory particle based on the single shmoo plot of each of the pins, wherein each test point of the integrated shmoo plot is marked with a pass proportion, and the pass proportion is configured to represent a proportion of a quantity of passed single shmoo plots at a corresponding test point to a total quantity of the single shmoo plots.

Disclosed in some examples are methods, systems, memory devices, machine readable mediums configured to intentionally degrade NAND performance when a value of a NAND health metric indicates a potential for failure to encourage users to replace or backup their devices before data loss occurs. For example, the system may track a NAND health metric and when that metric reaches a predetermined threshold or state, the system may intentionally degrade performance. This performance degradation may be more effective than a warning to effect device backup or replacement.

A method and an apparatus for testing a chip, as well as a storage medium, and a chip thereof are provided. The chip includes an operation module. The method includes receiving, via a first pin of the chip, a test control signal indicating a test type of the operation module; performing a first test for the operation module using a first test vector based on the test type; or performing a second test for the operation module using a second test vector, where the first test is a test for the memory included in the operation module and the second test is a test for the functional logic in included in the operation module.

A finite impulse response (FIR) filter including a delay line and a plurality of arithmetic units. Each arithmetic unit is coupled to a different one of a plurality of tap points of the delay line, is configured to receive a respective signal value over the delay line, and is associated with a respective coefficient. Any given one of the arithmetic units is configured to receive a respective control word. The respective control word specifying: (i) a plurality of trivial multiplication operations, and (ii) a plurality of bit shift operations. Any given one of the arithmetic units is further configured to estimate or calculate a product of the respective signal of the arithmetic unit respective signal value and the respective coefficient of the arithmetic unit by performing the trivial multiplication operations and bit shift operations that are specified by the respective control word that is received at the given arithmetic unit.

The present disclosure discloses a method and an apparatus for testing an artificial intelligence chip test, a device and a storage medium, and relates to the field of artificial intelligence. The specific implementation solution is: the target artificial intelligence chip has multiple same arithmetic units, the method includes: obtaining scale information of the target artificial intelligence chip; determining whether the target artificial intelligence chip satisfies a test condition of an arithmetic unit array level according to the scale information; dividing all the arithmetic units into multiple same arithmetic unit arrays, and performing a DFT test on the arithmetic unit arrays, respectively, if it is determined that the test condition of the arithmetic unit array level is satisfied; performing the DFT test on the arithmetic units, respectively, if it is not determined that the test condition of the arithmetic unit array level is not satisfied.