BOOK-CHAPTER
Bearing fault feature extraction method based on improved wavelet threshold denoising and adaptive VMD
Keywords:
Wavelet Noise reduction Pattern recognition (psychology) Extraction (chemistry) Artificial intelligence Feature extraction Fault (geology) Computer science Feature (linguistics) Geology Seismology Chromatography Chemistry
Metrics
0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.09
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Gear and Bearing Dynamics Analysis
Physical Sciences → Engineering → Mechanical Engineering
Advanced Measurement and Detection Methods
Physical Sciences → Engineering → Electrical and Electronic Engineering
Advanced Decision-Making Techniques
Physical Sciences → Computer Science → Information Systems
Related Documents
JOURNAL ARTICLE
Adaptive Wavelet Threshold Ｒolling Bearing Fault Vibration Signal Denoising Method
JI Jun-qingZHANG Ya-liangMENG Xiang-chuanXU Tong-le
Journal: DOAJ (DOAJ: Directory of Open Access Journals) Year: 2021
JOURNAL ARTICLE
Research on Fault Feature Extraction Method of Rolling Bearing Based on NMD and Wavelet Threshold Denoising
Maohua XiaoKai WenZhang CunyiXiao ZhaoWeihua WeiDan Wu
Journal: Shock and Vibration Year: 2018 Vol: 2018 (1)
JOURNAL ARTICLE
Plunger motor fault analysis method based on improved wavelet packet threshold denoising and feature signal extraction
Hui HuangYi GuoChen XuJunshou SuQiufang HuangYuzheng Li
Journal: Noise & Vibration Worldwide Year: 2025 Vol: 56 (3)Pages: 186-202
JOURNAL ARTICLE
Research on fault feature extraction method of rolling bearing based on improved wavelet threshold and CEEMD
Lixiang YangQinghe HuShuang Zhang
Journal: Journal of Physics Conference Series Year: 2020 Vol: 1449 (1)Pages: 012003-012003
JOURNAL ARTICLE
Application of improved wavelet threshold denoising to bearing fault diagnosis
Libin TanYunxu ZhangHaijuan Zhang
Year: 2025 Pages: 38-38