Fault Diagnosis of Rolling Bearing Based on Improved Sparrow Search Algorithm Optimized LSTM
In order to precisely diagnose the operational status and fault categories of rolling bearings, this paper employs a long short-term memory (LSTM) neural network as a classifier to categorize and diagnose the rolling bearing dataset. Initially, time-domain and frequency-domain characteristic paramet...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Editorial Department of Journal of Sichuan University (Engineering Science Edition)
2024-03-01
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| Colección: | 工程科学与技术 |
| Materias: | |
| Acceso en línea: | http://jsuese.scu.edu.cn/thesisDetails#10.15961/j.jsuese.202200709 |
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