A Robust Health Prognostics Technique for Failure Diagnosis and the Remaining Useful Lifetime Predictions of Bearings in Electric Motors

Remaining useful lifetime (RUL) predictions of electric motors are of vital importance in the maintenance and reduction of repair costs. Thanks to technological advances associated with Industry 4.0, physical models used for prediction and prognostics have been replaced by data-driven models that do...

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Egile Nagusiak:	Luis Magadán, Francisco J. Suárez, Juan C. Granda, Francisco J. delaCalle, Daniel F. García
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2023-02-01
Saila:	Applied Sciences
Gaiak:	health prognostics remaining useful lifetime prediction feature fusion stacked autoencoder bidirectional long short-term memory
Sarrera elektronikoa:	https://www.mdpi.com/2076-3417/13/4/2220
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