Fault Prediction for Electromechanical Equipment Based on Spatial-Temporal Graph Information

Fault prediction of electromechanical equipment can greatly reduce its maintenance cost and prevent catastrophic damage. In order to realize the accurate fault prediction of electromechanical equipment, a fault prediction method based on spatial-temporal graph information is proposed in this article...

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Veröffentlicht in:	IEEE transactions on industrial informatics 2023-02, Vol.19 (2), p.1413-1424
Hauptverfasser:	Zhang, Xiaofei, Long, Zhuo, Peng, Jian, Wu, Gongping, Hu, Haifeng, Lyu, MingCheng, Qin, Guojun, Song, Dianyi
Format:	Artikel
Sprache:	eng
Schlagworte:	Convolution Correlation Damage prevention Data mining Electromechanical equipment Fault diagnosis fault prediction Feature extraction Graph neural networks Maintenance costs Markov field Markov processes Signal monitoring spatial-temporal graphs Time series analysis
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