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...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Xin Xia, Haoyu Sun, Aiguo Wang
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-09-01
Serier:	Entropy
Fag:	fault diagnosis planetary gearbox fusion entropy random forest LSTM
Online adgang:	https://www.mdpi.com/1099-4300/27/9/956
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!