Satellite power supply system online fault diagnosis method

A technology for satellite power supply and fault diagnosis, which is applied in power supply testing, neural learning methods, biological neural network models, etc., to achieve the effect of improving the accuracy of fault diagnosis and effective extraction.

Inactive Publication Date: 2014-08-20
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0005] In order to solve the above problems, the present invention proposes an online fault diagnosis method based on improved EEMD and ECOC-SVM satellite power system, which solves the problem of feature extraction of fault signals on the one hand, overcomes the defects of the distance decoding strategy of the traditional ECOC method on the other hand, and improves satellite Accuracy of power system fault diagnosis

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Embodiment Construction

[0029] The technical solution of the present invention will be described in detail below in conjunction with descriptions 1, 2, and 3 of the accompanying drawings.

[0030] The invention designs a satellite power system fault diagnosis method based on improved EEMD and ECOC-SVM, which mainly includes fault mode design, circuit testability analysis, offline operation and online operation. The flow chart of the steps used is as follows figure 1 As shown, the specific operation includes the following steps:

[0031] (1) Failure mode design and circuit testability analysis

[0032] Before adopting this method, it is necessary to analyze the power circuit structure and failure mode first, and determine the fault level (device level, module level, subsystem level, etc.), type (single soft fault, multiple soft faults, single hard fault, multiple hard Types of faults, coexistence of soft and hard faults, etc.) and number (that is, how many devices are potential sources of faults). ...

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Abstract

The invention discloses a satellite power supply system online fault diagnosis method based on improved ensemble empirical mode decomposition (EEMD for short) and error correcting output codes-support vector machines (ECOC-SVM for short), and belongs to the field of circuit fault diagnosis. The method includes the following steps that first, a satellite power supply circuit to be tested is subjected to testability analysis, and testable points, fault levels, fault types and the number of faults are determined; second, off-line training is performed, and output signals of the circuit to be tested are collected in the testable points of the satellite power supply circuit; an improved EEMD method is adopted for performing fault characteristic extraction on collected circuit fault signals so that a sample can be formed and used for training the mode classifier SVM and the improved ECOC; third, on-line diagnosis is performed, the state of the circuit is judged through the trained mode classifier SVM, monitoring is performed again if the state of the circuit is healthy, diagnosis is performed through the improved ECOC if faults happen, and finally, the faults can be recognized and positioned.

Description

technical field [0001] The invention relates to an online fault diagnosis method for a satellite power supply system based on improved EEMD and ECOC-SVM, and belongs to the field of online fault diagnosis of complex system electronic circuits. Background technique [0002] Satellites, as a type of large-scale and complex systems that work together with cutting-edge achievements such as machinery, electronics, energy, and communications, play an indispensable role in deep space exploration, national defense, communications, and other fields. As an important part of the satellite, the satellite power supply system is a system for generating, storing, exchanging, regulating and distributing electric energy on the satellite. It provides safe and reliable energy supply for each sub-system equipment of the satellite. It is one of the essential security systems for satellites. , if a fault occurs but cannot be diagnosed and recovered in time, it will affect the normal operation of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/40G06N3/08
Inventor 崔江杨慧敏
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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