Joint training of a predictor network and a generative adversarial network for time series forecasting: A case study of bearing prognostics

Hao Lu,Vahid Barzegar,Venkat Pavan Nemani,Chao Hu,Simon Laflamme,Andrew Todd Zimmerman

Expert Systems with Applications（2022）

引用 7|浏览4

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摘要

•Perform data augmentation for deep learning model in bearing prognostics.•Adopt ISO standard, using RMS in velocity domain as bearing health indicator.•Develop a GAN-LSTM method that integrates the LSTM prediction model into GAN.•The proposed method is evaluated by a numerical problem and a practical example.

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关键词

Long short-term memory,Generative adversarial network,Time series prediction,Bearing prognostics

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