The design of intelligent fault diagnosis system for high power microwave systems

Faults often cause serious damages on high power microwave system (HPMS). An intelligent diagnosis system is introduced in this paper. It helps operators in monitoring and diagnosing abnormal situations of HPMS. The HPMS architecture, the structure of the intelligent diagnosis system, the knowledge...

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Bibliographic Details
Main Authors: Jianqiang Feng, Jiafang Shan, Yong Yang, Mao Wang, Handong Xu, Huaichuan Hu
Format: Conference Proceeding
Language:English
Subjects:
Circuit faults
Control systems
Diagnostic tree
Fault diagnosis
High power microwave system
Intelligent structures
Intelligent systems
Klystrons
Microwave devices
Monitoring
QNX
Radio frequency
Switches
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Summary:Faults often cause serious damages on high power microwave system (HPMS). An intelligent diagnosis system is introduced in this paper. It helps operators in monitoring and diagnosing abnormal situations of HPMS. The HPMS architecture, the structure of the intelligent diagnosis system, the knowledge base, and the inference process are presented in detail. A diagnostic tree of HPMS is built by domain experts, and the diagnostic priorities of nodes in the tree are determined based on a fuzzy group multiple attribute decision making method. QNX operation system has been used in developing the proposed diagnosis system. Preliminary test has been carried out in actual engineering project, and satisfactory results were achieved.
ISSN:1948-3449
1948-3457
DOI:10.1109/ICCA.2010.5524356