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

Abstract

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.