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

A satellite fault and fault diagnosis technology, applied in the field of satellite fault management, can solve the problem of sensitive information such as uncertainty

Active Publication Date: 2016-08-03
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

The application of ER method in the field of satellite fault and diagnosis can effectively solve the shortcomings of existing methods that are sensitive to uncertain information

Method used

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

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Embodiment Construction

[0031] The invention includes two aspects of fault diagnosis and fault prediction.

[0032] Troubleshooting:

[0033] The invention models satellite fault diagnosis based on ER method and utility theory. The model first obtains the reliability of each attribute according to the existing satellite telemetry data, and transforms the fault diagnosis input into the form of distribution of reliability. When all the input variables describe the form of reliability distribution, the ER algorithm is directly applied to combine all the attributes to obtain the result of fault diagnosis in the form of reliability distribution. Finally, the results of evidence fusion are quantified by utility theory and compared with the benchmark value to judge whether the diagnosed satellite device is faulty or not.

[0034] Failure prediction:

[0035] For the prediction problem, the input of the prediction model is the characteristic parameters of the system health status at the past time, lagging...

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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...

Claims

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Application Information

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IPC IPC(8): G06N5/04G06N3/04G06Q10/00
CPCG06N3/04G06N5/04G06Q10/20
Inventor 孙力娟韩稳稳王汝传周剑肖甫叶晓国郭剑
Owner NANJING UNIV OF POSTS & TELECOMM
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