Artificial circuit fault diagnosis system based on random forest

Abstract

An artificial circuit fault diagnosis system based on a random forest of the present invention belongs to the fault diagnosis field, and comprises a fault simulation subsystem, a fault diagnosis subsystem and a man-machine interaction interface. The fault simulation subsystem is used to realize a simulation fault simulation circuit and a semi-physical fault simulation circuit, and output circuit data to the fault diagnosis subsystem. The fault diagnosis subsystem removes redundancy on the circuit data and then constructs an RF classifier and an RF rule base to diagnose faults. The semi-physical fault simulation circuit is characterized in that a programmable resistor card is added in a real circuit by a fault injection module to realize a resistor fault. When the RF classifier is used to diagnose faults, the reconstruction is carried out by the stored RF node data information, and the time of retraining the RF classifier is saved. According to the present invention, a plurality of fault mode simulation and fault diagnosis can be carried out on any resistor in any real circuit, the faults are diagnosed by completely using the circuit data, and the simulation circuit fault information is transparent.

Description

technical field [0001] The invention belongs to the field of fault diagnosis, and in particular relates to random forest (RF for short), PXIE (PCI Extensions for Instrumentation Express, PCI extension platform oriented to instrument systems) to realize fault diagnosis of analog circuits and hardware-in-the-loop simulation verification technology. technical background [0002] With the rapid development of modern industry and science and technology, and the continuous innovation of electronic technology, the structure and system of modern equipment are becoming more and more complex. Fault analysis for any large and complex system and equipment is related to the safety of property and personnel, so circuit fault diagnosis becomes particularly important. Although digital circuits account for more than 80% of electronic equipment, the test time of analog circuits accounts for 80%-90% of the entire hybrid circuit test time, and single faults in analog circuits account for 70%-80...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem that the existing diagnosis technology is complicated and the fault information is opaque, the present invention proposes a fault diagnosis system for analog circuits based on random forest. The fault diagnosis system not only has the function of using The PXIE bus system realizes semi-physical simulation of analog circuit faults, can realize semi-physical verification of diagnostic methods, and can verify the correctness of circuits under software simulation and the classification accuracy of fault diagnosis

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