Improvement and Application of a Real-timing Analog Circuit Fault Diagnosis Method
The paper first makes a thorough research on the method for analog circuit fault diagnosis based on kurtosis and negentropy, and then theoretically analyses its advantage and disadvantage, which is followed by introducing the idea of centroid to overcome the methods shortcoming, making the improved method can extract the signals feature more efficiency. Finally, it applies the improved method to an actual circuit. The simulation result shows that the improved method not only improves the fault diagnosis ratio of neural network but also can be used in the real-timing condition such as online fault diagnosis.
kurtosis negentropy centroid, fault diagnosis neural network real-timing
Zheng Hongyan Li Hongbo Zeng Fanjing Li Tiefeng
Institute of Information Engineering Information Engineering University Zhengzhou, China
国际会议
深圳
英文
155-158
2011-03-28（万方平台首次上网日期，不代表论文的发表时间）