Planetary gearbox fault diagnosis using bidirectional-convolutional LSTM networks

Junchuan Shi,Dikang Peng,Zhongxiao Peng,Ziyang Zhang,Kai Goebel,Dazhong Wu

Mechanical Systems and Signal Processing（2022）

引用 82|浏览52

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摘要

•A multi-sensor fusion method that combines vibration and rotational speed signals.•A novel deep learning algorithm (BiConvLSTM) to classifying planetary gear faults.•Superior to existing deep learning algorithms such as CNN, LSTM, and CNN-LSTM.

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关键词

Planetary gearbox,Fault diagnosis,Deep learning,Spatiotemporal feature

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