Hierarchical Deep Learning for Bearing Fault Detection in BLDC Motors Using Time-Frequency Analysis
This paper presents new hierarchical image-based time-frequency convolutional neural network (HTFICNN) for sorted bearing fault detection in brushless DC (BLDC) motors. The HTFICNN combines three different time-frequency visualisation methods: scalogram, spectrogram, and Hilbert spectrum for the tra...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2024/3376733 |
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