Blind system fault detection and isolation method for real-time signal processing of spacecraft

Abstract

The invention provides a blind system fault detection and isolation method for real-time signal processing of a spacecraft, which comprises the following steps: according to object system diagnosis reference signals, adopting a time domain dynamic pattern matching mode to detect signal singular points to realize distinguishment of normal and abnormal states of a system; and then according to object system diagnosis reference signals after the fault occurrence time, adopting the time domain dynamic pattern matching mode to carry out matching and classification on the time domain signal pattern to realize system fault mode isolation. The blind system fault detection and isolation method is established on the basis of a fault detection ELMAN neural network, a fault isolation ELMAN neural network, an improved network training algorithm and fault logic judgment technology, has excellent real-time effectiveness, output coupling diagnosis performance, time domain signal diagnosis generalization and network convergence, and can effectively avoid the defects that the accurate spacecraft model is not easily acquired, an artificial diagnosis method has bad real-time, and the conventional neural network method has poor time domain sample generalization and convergence.

Description

technical field [0001] The invention relates to the field of spacecraft fault diagnosis and fault-tolerant control, in particular to a fault detection and isolation method for real-time processing of blind system time-domain signals. Background technique [0002] Real-time status monitoring and fault diagnosis are essential means to ensure the reliability of remote equipment. Especially for space vehicle equipment such as satellites, the particularity of its remote environment and the criticality of equipment determine that satellite fault diagnosis must not only be intelligent and autonomous, but also real-time. The infrared earth sensor is one of the important components for measuring satellite attitude with reference to the orbital coordinate system, and it is also a prerequisite for ensuring the normal operation of the satellite attitude and orbit control subsystem. However, sensor failure is also one of the control theory and technical problems that are most likely to ...

AI Technical Summary

Problems solved by technology

However, the manual establishment process of the G2 expert system rule knowledge base is cumbersome, and in order to improve the effect of fault detection and isolation, a large amount of real-time status information needs to be referred to, so there are still deficiencies in intelligence.

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