Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review-Reference-Cited by-同舟云学术

Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review

Published:2016-03 Issue: Volume:70-71 Page:1-35
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Chen Jinglong,Li Zipeng,Pan Jun,Chen Gaige,Zi Yanyang,Yuan Jing,Chen Binqiang,He Zhengjia

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities of China

Shaanxi Industrial Science and Technology Project

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference190 articles.

1. Fault diagnosis of planetary gearboxes via torsional vibration signal analysis;Feng;Mech. Syst. Signal Process.,2013

2. A review on empirical mode decomposition in fault diagnosis of rotating machinery;Lei;Mech. Syst. Signal Process.,2013

3. Multi-stable stochastic resonance and its application research on mechanical fault diagnosis;Li;J. Sound Vib.,2013

4. Multivariate EMD and full spectrum based condition monitoring for rotating machinery;Zhao;Mech. Syst. Signal Process.,2012

5. Condition monitoring of wind turbines: techniques and methods;Marquez;Renew. Energy,2012

Cited by 397 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. NPFormer: Interpretable rotating machinery fault diagnosis architecture design under heavy noise operating scenarios;Mechanical Systems and Signal Processing;2025-01

2. Cyclostationary harmonic product spectrum with its application for rolling bearing fault resonance frequency band adaptive location;Expert Systems with Applications;2024-11

3. Wavelet-powered hierarchical frequency filtering framework for autonomous vehicle sensors fault diagnosis and correction under open environments;Engineering Applications of Artificial Intelligence;2024-10

4. 2D Second-Order Time–Frequency Synchrosqueezing Transform: For Non-stationary Signals Well-Localized Components Extraction and Separation;Circuits, Systems, and Signal Processing;2024-08-13

5. A review of the wavelet transform for durability and structural health monitoring in automotive applications;Alexandria Engineering Journal;2024-07