Study on Intelligence Fault Diagnosis Approach Based on Digraph Model and Application to Satellite Battery

Zi Qian Cui; Min Qiang Xu; Ri Xin Wang

doi:10.4028/www.scientific.net/AMR.889-890.929

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Fuzzy Logic Control of the Marine Permanent Magnet Synchronous Propulsion Motor with Direct Torque Control System
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 889-890Study on Intelligence Fault Diagnosis Approach...

Study on Intelligence Fault Diagnosis Approach Based on Digraph Model and Application to Satellite Battery

Abstract:

This article presents a SSDG---based intelligent fault diagnosis method. This method uses five signed threshold value modes to define nodes for carrying quantified information. This method establishes the SDGs of the system and its components, uses the based on rules method to diagnosis, then expands the diagnosing rule bank with logical operators to construct the diagnosing rule bank of the system. Applying in satellite battery system, this method can diagnosis the multiple fault, and batter explain, reworked and faster diagnosis.

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Periodical:

Advanced Materials Research (Volumes 889-890)

Pages:

929-932

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.889-890.929

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Online since:

February 2014

Authors:

Zi Qian Cui, Min Qiang Xu, Ri Xin Wang

Keywords:

Diagnosistic, Primary Power Supply, SDG

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