Rolling bearing fault diagnosis via STFT and improved instantaneous frequency estimation method-Reference-Cited by-同舟云学术

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Rolling bearing fault diagnosis via STFT and improved instantaneous frequency estimation method

Published:2020 Issue: Volume:49 Page:166-172
ISSN:2351-9789
Container-title:Procedia Manufacturing
language:en
Short-container-title:Procedia Manufacturing

Author:

Liu Dongdong,Cheng Weidong,Wen Weigang

Funder

Beijing Municipal Natural Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Reference21 articles.

1. A new SKRgram based demodulation technique for planet bearing fault detection;Wang;Journal of Sound and Vibration,2016

2. Quantitative and localization diagnosis of a defective ball bearing based on vertical-horizontal synchronization signal analysis;Cui;IEEE Transactions on Industrial Electronics,2017

3. Wavelets for fault diagnosis of rotary machines: A review with applications;Yan;Signal Processing,2014

4. Detection of weak transient signals based on wavelet packet transform and manifold learning for rolling element bearing fault diagnosis;Wang;Mechanical Systems and Signal Processing,2015

5. A review on empirical mode decomposition in fault diagnosis of rotating machinery;Lei;Mechanical Systems and Signal Processing,2013

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