Coordinated method fusing improved bubble entropy and artificial Gorilla Troops Optimizer optimized KELM for rolling bearing fault diagnosis
Authors:
- Jiancheng GongJGJiancheng Gong
- Xiaoqiang YangXYXiaoqiang Yang
- Haitao WangHWHaitao Wang
- Jinxing ShenJSJinxing Shen
- Wuqiang LiuWLWuqiang Liu
- Fuming ZhouFZFuming Zhou
- 11 June 2022
- journal article
- research article
- Published by Elsevier in Applied Acoustics
- Vol. 195
Abstract
No abstract availableKeywords
This publication has 38 references indexed in Scilit:
- Time Series Analysis Using Composite Multiscale EntropyEntropy, 2013
- Faulty bearing signal recovery from large noise using a hybrid method based on spectral kurtosis and ensemble empirical mode decompositionMeasurement, 2012
- Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applicationsArtificial Intelligence Review, 2012
- Fault detection of planetary gearboxes using new diagnostic parametersMeasurement Science and Technology, 2012
- Application of the PSO–SVM model for recognition of control chart patternsISA Transactions, 2010
- Fault diagnosis of power transformer based on support vector machine with genetic algorithmExpert Systems with Applications, 2009
- Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling: A method for bearing prognosticsJournal of Sound and Vibration, 2007
- Application of EMD method and Hilbert spectrum to the fault diagnosis of roller bearingsMechanical Systems and Signal Processing, 2005
- Random Forest: A Classification and Regression Tool for Compound Classification and QSAR ModelingJournal of Chemical Information and Computer Sciences, 2003
- A technique for calculating the time domain averages of the vibration of the individual planet gears and the sun gear in an epicyclic gearboxJournal of Sound and Vibration, 1991