Field programmable gate array (FPGA) device for diagnosing and predicting artificial circuit faults

Abstract

A field programmable gate array (FPGA) device for diagnosing and predicting artificial circuit faults comprises an FPGA board card, wherein the FPGA board card is connected with a computer host machine in Ethernet communication mode, and upper machine software is operated in the computer host machine. The FPGA board card is used for acquisition, cache, preprocessing and back-up of accessible node voltage information and network spectrum characteristic data of an artificial circuit to be tested and packing and transmitting an original signal and artificial circuit fault information to the upper machine software. The upper machine software is used for receiving data frames sent by the FPGA board card, provides interface software for diagnosing and predicting the artificial circuit faults, simultaneously provides a delivery interface of original data and can seamlessly deliver the data to other analysis platforms of the computer host machine to perform follow-up processing, analysis and back-up. The FPGA device for diagnosing and predicting the artificial circuit faults tests and diagnoses some large-scale naval ship artificial circuits and a radio frequency identification device (RFID) filter network, the accuracy rate of fault diagnosis is larger than 95%, and the false rejection rate and the false accept rate are smaller than 3%.

Description

technical field [0001] The invention relates to the field of analog circuit fault detection, diagnosis and prediction, and more specifically relates to an FPGA device for analog circuit fault diagnosis and prediction. Background technique [0002] In analog circuits, factors such as device nonlinearity, tolerance, and environmental changes often cause various faults in the circuit, especially the soft faults do not have obvious regularity and reproducibility. In the research and development of analog circuit fault diagnosis for more than 60 years, many methods have emerged, such as: fault dictionary method, parameter identification method, fault verification method, fuzzy theory, neural network and wavelet analysis, etc., which provide a solution for analog circuit faults. Some phased ideas and plans. However, most of the above methods stay in the simulation stage. The real-time signal processing system with FPGA as the core has been widely used in communication, radar, im...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to solve the problem that the analog circuit fault diagnosis and prediction algorithm lacks a verification platform and stay in the simulation stage, overcome the disadvantages of the traditional verification platform with a computer as the core, which has a huge hardware system and lagging data processing, and provides A highly integrated FPGA device with rich analog circuit fault characteristic signal acquisition interface and powerful fault characteristic information calculation capability

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