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Thanks to technological advances associated with Industry 4.0, physical models used for prediction and prognostics have been replaced by data-driven models that do...

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Bibliografiska uppgifter

Huvudupphov:	Luis Magadán, Francisco J. Suárez, Juan C. Granda, Francisco J. delaCalle, Daniel F. García
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2023-02-01
Serie:	Applied Sciences
Ämnen:	health prognostics remaining useful lifetime prediction feature fusion stacked autoencoder bidirectional long short-term memory
Länkar:	https://www.mdpi.com/2076-3417/13/4/2220
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