Diagnosis of steam turbine rotor based on improved convolutional neural network algorithm
Abstract To address the challenges of insufficient precision and limited adaptability in conventional rotor fault diagnosis methods, we propose a new approach using convolutional neural networks. This aims to effectively identify complex and diverse fault patterns in a steam turbine rotor through a...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-04-01
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| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-025-00269-x |
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