Satellite fault diagnosis and prediction method based on evidential reasoning (ER)

Abstract

The invention provides a satellite fault diagnosis and prediction method based on evidential reasoning (ER). An analytic ER method is applied to satellite fault diagnosis, a fault diagnosis result at former p time and a fault diagnosis result at the current time respectively serve as input and output of a neural network to train the neural network, correlation between the former p time and the current time is found out, and fault prediction is thus completed. The invention provides a nonlinear complicated system fault diagnosis and prediction method in a multi-parameter condition, feature parameters outputted by the fault diagnosis are used for prediction and modeling, and the health condition of an inertial platform at the next time can be reflected more intuitively and effectively.

Description

technical field [0001] The invention relates to an intelligent fault diagnosis and prediction method based on evidence thrust applied to satellite equipment. The invention can not only be used in satellites, but can also be transformed and applied to other mechanical equipment with a high degree of automation and convenient information collection. It belongs to satellite fault management field. Background technique [0002] Fault diagnosis is to ensure the normal operation of the specified system, using instruments, equipment and computer technology to monitor, inspect and test the system, and obtain system fault information. Fault prediction technology is a subject technology developed on the basis of fault diagnosis technology. Through advanced equipment and computer technology, it monitors and recognizes the symptom information that indicates the occurrence of faults, so as to achieve the effect of fault prediction and avoid the occurrence of faults. The early fault diag...

AI Technical Summary

Problems solved by technology

The application of ER method in the field of satellite fault and diagnosis can effective

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