A Data Driven RUL Estimation Framework of Electric Motor Using Deep Electrical Feature Learning from Current Harmonics and Apparent Power
An effective remaining useful life (RUL) estimation method is of great concern in industrial machinery to ensure system reliability and reduce the risk of unexpected failures. Anticipation of an electric motor’s future state can improve the yield of a system and warrant the reuse of the industrial a...
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| Principais autores: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
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MDPI AG
2021-05-01
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| Serija: | Energies |
| Teme: | |
| Online dostop: | https://www.mdpi.com/1996-1073/14/11/3156 |
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