scholarly journals Soft Fault Diagnosis using URV-LDA Transformed Feature Dictionary

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Cen Chen ◽  
Yun Yang ◽  
Xuerong Ye ◽  
Guofu Zhai
2010 ◽  
Vol 17 (3) ◽  
Author(s):  
Wei Zhang ◽  
Longfu Zhou ◽  
Yibing Shi ◽  
Chengti Huang ◽  
Yanjun Li

2014 ◽  
Vol 30 (2) ◽  
pp. 243-249 ◽  
Author(s):  
Yongle Xie ◽  
Xifeng Li ◽  
Sanshan Xie ◽  
Xuan Xie ◽  
Qizhong Zhou

2013 ◽  
Vol 307 ◽  
pp. 327-330
Author(s):  
Wei Cong ◽  
Bo Jing ◽  
Hong Kun Yu

Because of the diversity and complexity of soft fault in analog circuit, the rapid and accurate diagnosis is very difficult. For this, an adaptive BP wavelet neural network diagnosis method of soft fault is proposed. It combines the time-frequency localization characteristics of wavelet and the self-learning ability of neural network in soft fault diagnosis of analog circuit, and by introducing the adaptive learning rate the diagnosis ability of BP wavelet neural network model can effectively be improved. In addition, PSPICE software is used to obtain the simulation data of actual analog circuit for the experiment. The results also verify the validity of the proposed method.


Measurement ◽  
2019 ◽  
Vol 131 ◽  
pp. 714-722 ◽  
Author(s):  
Michał Tadeusiewicz ◽  
Stanisław Hałgas

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