Uncertainty fault diagnosis efficiency evaluation method for the complex electronic system

Abstract

The uncertainty fault diagnosis efficiency evaluation method for the complex electronic system is high in automation degree and accurate in conclusion, and the average diagnosis step number and the diagnosis cost can be reduced. According to the technical scheme, the method comprises the steps that an electronic system hierarchical framework, an FMEA result and a test point scheme serve as input, and an uncertainty fault-test dependency matrix (D matrix) of a system is constructed for three test types of absolute test, non-absolute test and uncertainty test; then, the influence of non-absolute testing on the detectable fault mode set is eliminated, and a fault detection rate index is calculated; then, the influence of non-absolute testing on the detectable fault mode set is eliminated, and a fault detection rate index is calculated; next, the influence of uncertainty on the isolatable fault mode set is eliminated, and the fault mode set isolated to 1, 2 and 3 external field replaceable units or modules (LRU/LRM) and a fault isolation rate index are obtained;.

Description

technical field [0001] The invention relates to a complex electronic system uncertain fault diagnosis effectiveness evaluation method, which is used for complex airborne electronic system or equipment testability analysis and evaluation. Background technique [0002] With the wide application of digital and radio frequency large-scale integrated circuits and chips, airborne electronic systems or equipment are increasingly developing in the direction of integration, miniaturization and integration. While improving system functional performance and reducing volume power consumption, The complexity of the system also increases, which leads to the increasing difficulty of fault diagnosis and high testing costs. At the same time, it also greatly increases the complexity, correlation and uncertainty of the system (Uncertainty). In order to ensure the reliable and continuous operation of the system, real-time online monitoring of its operating status is necessary to accurately dete...

AI Technical Summary

Problems solved by technology

Secondly, faults may be coupled, which increases the difficulty of fault diagnosis

Uncertainty has always been a bottleneck restricting the application and development of fault diagnosis expert systems

The non-absolute test is only limited to judging whether the product is normal, but it cannot be used as the basis for product failure judgment

During the testabi

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