A Fault Detection Framework for Rotating Machinery with a Spectrogram and Convolutional Autoencoder
In modern industrial systems, establishing the optimal maintenance policy for rotating machinery is essential to improve productivity and prevent catastrophic accidents. To this end, many machinery engineers have been interested in condition-based maintenance strategies, which execute the maintenanc...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-07-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/15/14/7698 |
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