Fuzzy Diagnosis Method Based on Multi-frequency Responses for Tolerance Analog Circuit

摘要：

For tolerance analog circuit, a novel fuzzy diagnosis method fusing the information of signal features of multi-frequency responses is proposed. The AC signals with different frequencies are respectively input to the circuit for Monte-Carlo analysis. The respones in time domain are modeled by the wave discription model as so-called feature interval vector. The waveform similarity is defined as the similarity of the test sample to the feature interval vector. Then, multiple inputs with different frequencies bring about several responses and waveform similarities, by which the overall similarity is calculated through information fusion and finally, a consistent diagnosis conclusion is drawn. The Experimental results show that the proposed method, dealing with the tolerance in the analog circuit efficiently, leads to more accurate diagnosis results and reduces the test cost. It is effective even in the slight soft fault diagnosis.

关键词： multi-frequency test tolerance analog circuit fuzzy fault diagnosis information fusion similarity.

作者: Jianlin Zhong You He

作者单位: Research Institute of Information Fusion,Naval Aeronautical and Astronautical University,Yantai 264001,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 4060-4064

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）