The application of the resilent backpropagation algorithm and power spectrum density for recognizing the acoustic emission signals genereted by basic partial discharge forms using artificial neuron networks
The subject matter of this paper refers to the correct recognition of the acoustic emission (AE) signals generated by basic partial discharge forms (PDs). The paper presents research results of the application of unidirectional artificial neural networks (ANN) for recognizing basic PD forms that...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Fundamental Technological Research Polish Academy of Sciences
2014-01-01
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| Series: | Archives of Acoustics |
| Subjects: | |
| Online Access: | https://acoustics.ippt.pan.pl/index.php/aa/article/view/1364 |
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