BEARING FAULT DETECTION BY USING AUTOENCODER CONVOLUTIONAL NEURAL NETWORK
Context. Bearings are an important part for the functioning of various means of transportation. They have the property of wear and failure, which requires high-quality and timely detection of faults. Failures are not always easy to detect, so the use of traditional detection methods may not be effec...
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| Published in: | Radìoelektronika, informatika, upravlìnnâ no. 2; pp. 116 - 125 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
29.06.2025
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| ISSN: | 1607-3274, 2313-688X |
| Online Access: | Get full text |
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