Sparsity-based fractional spline wavelet denoising via overlapping group shrinkage with non-convex regularization and convex optimization for bearing fault diagnosis-Reference-Cited by-同舟云学术

Sparsity-based fractional spline wavelet denoising via overlapping group shrinkage with non-convex regularization and convex optimization for bearing fault diagnosis

Published:2020-01-31 Issue:5 Volume:31 Page:055003
ISSN:0957-0233
Container-title:Measurement Science and Technology
language:
Short-container-title:Meas. Sci. Technol.

Author:

Wang Lei,Zhang Xin^ORCID,Liu Zhiwen,Wang Jinglin

Funder

Aeronautical Science Foundation of China

National Natural Science Foundation of China and the Civil Aviation Administration of China

Fundamental Research Funds for the Central Universities of China

Publisher

IOP Publishing

Subject

Applied Mathematics,Instrumentation,Engineering (miscellaneous)

Link

https://iopscience.iop.org/article/10.1088/1361-6501/ab62c8/pdf

Reference43 articles.

1. Blind Parameter Identification of MAR Model and Mutation Hybrid GWO-SCA Optimized SVM for Fault Diagnosis of Rotating Machinery

2. Time–frequency analysis based on ensemble local mean decomposition and fast kurtogram for rotating machinery fault diagnosis

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