Fault Diagnosis of Planetary Gearboxes Based on LSTM Improved via Feature Extraction Using VMD, Fusion Entropy, and Random Forest

Extracting effective fault features from the complex vibration signals of planetary gearboxes is the key to conducting efficient fault diagnosis, and it involves signal processing, feature extraction, and feature selection. In this paper, a novel feature extraction method is proposed using variation...

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書目詳細資料

Principais autores:	Xin Xia, Haoyu Sun, Aiguo Wang
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2025-09-01
叢編:	Entropy
主題:	fault diagnosis planetary gearbox fusion entropy random forest LSTM
在線閱讀:	https://www.mdpi.com/1099-4300/27/9/956
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