A TEO‐based modified Laplacian of Gaussian filter to detect faults in rolling element bearing for variable rotational speed machine-Reference-Cited by-同舟云学术

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A TEO‐based modified Laplacian of Gaussian filter to detect faults in rolling element bearing for variable rotational speed machine

Published:2020-12-31 Issue:2 Volume:15 Page:193-203
ISSN:1751-8822
Container-title:IET Science, Measurement & Technology
language:en
Short-container-title:IET sci. meas. technol.

Author:

Liu Yi¹²,Jiang Zhansi²,Huang Haizhou³,Xiang Jiawei¹^ORCID

Affiliation:

1. College of Mechanical and Electrical Engineering Wenzhou University Wenzhou P.R. China

2. School of Mechanical and Electrical Engineering Guilin University of Electronic Technology Guilin P.R. China

3. Huadian Electric Power Research Institute Hangzhou P.R. China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/smt2.12021

Reference37 articles.

1. Rolling element bearing diagnostics—A tutorial

2. Rolling element bearing fault detection using PPCA and spectral kurtosis

3. Performance enhancement of the machine‐fault diagnosis system using feature mapping, normalisation and decision fusion;Sreekumar K.T.;IET Sci. Meas. Technol.,2019

4. Multisensor wireless system for eccentricity and bearing fault detection in induction motors;Esfahani E.T.;IEEE/ASME Trans. Mechatron.,2014

5. A review on machinery diagnostics and prognostics implementing condition-based maintenance

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1. Iterative Laplace of Gaussian filter and improved Teager energy operator for bearing fault detection in gearboxes;Measurement Science and Technology;2024-06-28

2. Application of an Improved Laplacian-of-Gaussian Filter for Bearing Fault Signal Enhancement of Motors;Machines;2024-06-05

3. Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature;Frontiers of Mechanical Engineering;2023-03

4. Fault Frequency Identification of Rolling Bearing Using Reinforced Ensemble Local Mean Decomposition;Journal of Control Science and Engineering;2021-12-29

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