A Prediction Method for the RUL of Equipment for Missing Data

A Prediction Method for the RUL of Equipment for Missing Data

We present a prediction framework to estimate the remaining useful life (RUL) of equipment based on the generative adversarial imputation net (GAIN) and multiscale deep convolutional neural network and long short-term memory (MSDCNN-LSTM). The method we proposed addresses the problem of missing data...

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Bibliographic Details
Main Authors: Chen Wenbai, Liu Chang, Chen Weizhao, Liu Huixiang, Chen Qili, Wu Peiliang
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/2122655
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