Performance Degradation Prediction Using LSTM with Optimized Parameters

Predicting the degradation of mechanical components, such as rolling bearings is critical to the proper monitoring of the condition of mechanical equipment. A new method, based on a long short-term memory network (LSTM) algorithm, has been developed to improve the accuracy of degradation prediction....

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Detalles Bibliográficos
Autores principales: Hu, Yawei, Wei, Ran, Yang, Yang, Li, Xuanlin, Huang, Zhifu, Liu, Yongbin, He, Changbo, Lu, Huitian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949053/
https://www.ncbi.nlm.nih.gov/pubmed/35336579
http://dx.doi.org/10.3390/s22062407

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949053/
https://www.ncbi.nlm.nih.gov/pubmed/35336579
http://dx.doi.org/10.3390/s22062407

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