A Technique for Bearing Fault Diagnosis Using Novel Wavelet Packet Transform-Based Signal Representation and Informative Factor LDA
Author:
Affiliation:
1. Department of Electrical, Electronics and Computer Engineering, University of Ulsan, Ulsan 44610, Republic of Korea
2. Prognosis and Diagnostics Technologies Co., Ltd., Ulsan 44610, Republic of Korea
Abstract
Funder
Technology development Program
Technology Innovation Program
Ministry of Trade, Industry & Energy
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Optimization,Mechanical Engineering,Computer Science (miscellaneous),Control and Systems Engineering
Link
https://www.mdpi.com/2075-1702/11/12/1080/pdf
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3. Nguyen, T.-K., Ahmad, Z., and Kim, J.-M. (2021). A Scheme with Acoustic Emission Hit Removal for the Remaining Useful Life Prediction of Concrete Structures. Sensors, 21.
4. Nguyen, T.-K., Ahmad, Z., and Kim, J.-M. (2022). A Deep-Learning-Based Health Indicator Constructor Using Kullback–Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures. Sensors, 22.
5. Nguyen, T.-K., Ahmad, Z., and Kim, J.-M. (2022). Leak Localization on Cylinder Tank Bottom Using Acoustic Emission. Sensors, 23.
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1. Multi-fault bearing diagnosis under time-varying conditions using Empirical Wavelet Transform, Gaussian mixture model, and Random Forest classifier;Advances in Mechanical Engineering;2024-08
2. Review of Fault Diagnosis Methods for Induction Machines in Railway Traction Applications;Energies;2024-06-04
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