Truncation filtering method for envelope analysis
Author:
Affiliation:
1. Naval University of Engineering Power Engineering Marine Engineering; Wuhan China
2. Wuchang University of Technology; Wuhan China
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/acs.2971/fullpdf
Reference12 articles.
1. Defect detection for bearings using envelope spectra of wavelet transforms;Shi;J Vib Acoust,2004
2. Feature extraction based on Morlet wavelet and its application for mechanical fault diagnosis;Lin;J Sound Vib,2000
3. Wavelet analysis and envelope detection for rolling element bearing fault diagnosis-their effectiveness and flexibilities;Peter;J Vib Acoust,2001
4. Fast computation of the kurtogram for the detection of transient faults;Antoni;Mech Syst Signal Process,2007
5. The automatic selection of an optimal wavelet filter and its enhancement by the new sparsogram for bearing fault detection. Part 2 of the two related manuscripts that have a joint title as “two automatic vibration-based fault diagnostic methods using the novel sparsity measurement-parts 1 and 2”;Tse;Mech Syst Sig Process,2013
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1. Bearing-Fault-Feature Enhancement and Diagnosis Based on Coarse-Grained Lattice Features;Sensors;2024-05-30
2. Fault Detection on Bearings and Rotating Machines based on Vibration Sensors Data;2021 IEEE International Conference on Progress in Informatics and Computing (PIC);2021-12-17
3. Fault feature extraction of rolling element bearing based on TPE-EVMD;Measurement;2021-10
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