Fault diagnosis of analog circuit based on wavelet transform and neural network
Analog circuits need more effective fault diagnosis methods. In this study, the fault diagnosis method of analog circuits was studied. The fault feature vectors were extracted by a wavelet transform and then classified by a generalized regression neural network (GRNN). In order to improve the classi...
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2020-03-01
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| Series: | Archives of Electrical Engineering |
| Subjects: | |
| Online Access: | https://journals.pan.pl/dlibra/publication/131766/edition/115096/content |