Original paper
Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network
Volume: 66, Issue: 4, Pages: 3208 - 3216
Published: Apr 1, 2019
Abstract
Bearing remaining useful life (RUL) prediction plays a crucial role in guaranteeing safe operation of machinery and reducing maintenance loss. In this paper, we present a new deep feature learning method for RUL estimation approach through time frequency representation (TFR) and multiscale convolutional neural network (MSCNN). TFR can reveal nonstationary property of a bearing degradation signal effectively. After acquiring time-series...
Paper Details
Title
Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network
Published Date
Apr 1, 2019
Volume
66
Issue
4
Pages
3208 - 3216
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