Variable step adaptive kurtogram method based on empirical wavelet transform for rolling bearing fault diagnosis
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Variable step adaptive kurtogram method based on empirical wavelet transform for rolling bearing fault diagnosis
Authors
Keywords
-
Journal
Journal of Mechanical Science and Technology
Volume 36, Issue 6, Pages 2695-2708
Publisher
Springer Science and Business Media LLC
Online
2022-06-20
DOI
10.1007/s12206-022-0503-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Feature extraction method based on adaptive and concise empirical wavelet transform and its applications in bearing fault diagnosis
- (2021) Kun Zhang et al. MEASUREMENT
- Simplified Welch Algorithm for Spectrum Monitoring
- (2020) Mohammad Hossein Same et al. Applied Sciences-Basel
- ACCUGRAM: A novel approach based on classification to frequency band selection for rotating machinery fault diagnosis
- (2019) Zhiliang Liu et al. ISA TRANSACTIONS
- Fault Feature Extraction and Enhancement of Rolling Element Bearings Based on Maximum Correlated Kurtosis Deconvolution and Improved Empirical Wavelet Transform
- (2019) Zheng Li et al. Applied Sciences-Basel
- Adaptive Kurtogram and its applications in rolling bearing fault diagnosis
- (2019) Yonggang Xu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Optimal demodulation-band selection for envelope-based diagnostics: A comparative study of traditional and novel tools
- (2019) Wade A. Smith et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- The Autogram: An effective approach for selecting the optimal demodulation band in rolling element bearings diagnosis
- (2018) Ali Moshrefzadeh et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Gear fault diagnosis using Autogram analysis
- (2018) Adel Afia et al. Advances in Mechanical Engineering
- A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
- (2018) Biao Wang et al. IEEE TRANSACTIONS ON RELIABILITY
- Envelope analysis of rotating machine vibrations in variable speed conditions: A comprehensive treatment
- (2017) D. Abboud et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment
- (2016) Jun Pan et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A parameterless scale-space approach to find meaningful modes in histograms — Application to image and spectrum segmentation
- (2014) Jérôme Gilles et al. International Journal of Wavelets Multiresolution and Information Processing
- Empirical Wavelet Transform
- (2013) Jerome Gilles IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Application of an improved kurtogram method for fault diagnosis of rolling element bearings
- (2011) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- An adaptive SK technique and its application for fault detection of rolling element bearings
- (2010) Yanxue Wang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Rolling element bearing diagnostics—A tutorial
- (2010) Robert B. Randall et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A novel method for the optimal band selection for vibration signal demodulation and comparison with the Kurtogram
- (2010) Tomasz Barszcz et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Rolling element bearing fault diagnosis based on the combination of genetic algorithms and fast kurtogram
- (2009) Yongxiang Zhang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now