A Novel Image Feature for the Remaining Useful Lifetime Prediction of Bearings Based on Continuous Wavelet Transform and Convolutional Neural Network

In data-driven methods for prognostics, the remaining useful lifetime (RUL) is predicted based on the health indicator (HI). The HI detects the condition of equipment or components by monitoring sensor data such as vibration signals. To construct the HI, multiple features are extracted from signals...

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Κύριοι συγγραφείς:	Youngji Yoo, Jun-Geol Baek
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2018-07-01
Σειρά:	Applied Sciences
Θέματα:	continuous wavelet transform convolutional neural network bearings remaining useful lifetime prognostics and health management health indicator
Διαθέσιμο Online:	http://www.mdpi.com/2076-3417/8/7/1102
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