Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICCA.2010.5524356 | ICCA |
Keywords | Field | DocType |
fault diagnosis,knowledge based systems,qnx,decision making,hpms architecture,intelligent fault diagnosis system,qnx operation system,diagnostic expert systems,electrical engineering computing,fuzzy group multiple attribute decision making method,microwave devices,diagnostic tree,high power microwave system,control systems,switches,klystrons,knowledge base,radio frequency,intelligent systems,operating system | Intelligent decision support system,Inference,Diagnostic tree,Knowledge-based systems,Control engineering,Microwave amplifiers,Fuzzy group,Knowledge base,Control system,Engineering | Conference |
Volume | Issue | ISSN |
null | null | 1948-3449 E-ISBN : 978-1-4244-5196-8 |
ISBN | Citations | PageRank |
978-1-4244-5196-8 | 0 | 0.34 |
References | Authors | |
1 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianqiang Feng | 1 | 0 | 0.34 |
| Jiafang Shan | 2 | 0 | 1.01 |
| Yong Yang | 3 | 0 | 0.68 |
| Mao Wang | 4 | 0 | 0.68 |
| Handong Xu | 5 | 0 | 1.35 |
| Huaichuan Hu | 6 | 0 | 0.68 |