Automatic instantaneous frequency order (IFO) extraction via integration strategy and multi-demodulation for bearing fault diagnosis under variable speed operation
Author:
Affiliation:
1. School of Rail Transportation, Soochow University, Suzhou, China
2. Faculty of Engineering, University of Ottawa, Ottawa, ON, Canada
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference18 articles.
1. Fuzzy determination of informative frequency band forbearing fault detection;Li;Journal of Intelligent & FuzzySystems,2016
2. Criterion fusion for spectralsegmentation and its application to optimal demodulation of bearingvibration signals;Li;Mechanical Systems & Signal Processing,2015
3. Comparison ofamplitude-based and phase-based methods for speed tracking inapplication to wind turbines;Urbanek;Metrology and MeasurementSystems,2011
4. A two-step procedure forestimation of instantaneous rotational speed with largefluctuations;Urbanek;Mechanical Systems and Signal Processing,2013
5. Fault detection in variable speedmachinery: Statistical parameterization;McBain;Journal of Sound andVibration,2009
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1. Adaptive Cost Function Ridge Estimation for Rolling Bearing Fault Diagnosis Under Variable Speed Conditions;IEEE Transactions on Instrumentation and Measurement;2022
2. Synchronous chirp mode extraction: A promising tool for fault diagnosis of rolling element bearings under varying speed conditions;Chinese Journal of Aeronautics;2022-01
3. Iterative characteristic ridge extraction for bearing fault detection under variable rotational speed conditions;ISA Transactions;2022-01
4. Bearing Condition Monitoring via Multiple Instantaneous Frequency Path Extraction from Enhanced Time Frequency Representation;2019 Prognostics and System Health Management Conference (PHM-Qingdao);2019-10
5. Tacholess Speed Estimation in Order Tracking: A Review With Application to Rotating Machine Fault Diagnosis;IEEE Transactions on Instrumentation and Measurement;2019-07
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