Research on Fault Prediction Method of Elevator Door System Based on Transfer Learning
Jun Pan,
Changxu Shao,
Yuefang Dai
et al.
Abstract:The elevator door system plays a crucial role in ensuring elevator safety. Fault prediction is an invaluable tool for accident prevention. By analyzing the sound signals generated during operation, such as component wear and tear, the fault of the system can be accurately determined. This study proposes a GNN-LSTM-BDANN deep learning model to account for variations in elevator operating environments and sound signal acquisition methods. The proposed model utilizes the historical sound data from other elevators… Show more
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