A novel demodulation method for rotating machinery based on time-frequency analysis and principal component analysis-Reference-Cited by-同舟云学术

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A novel demodulation method for rotating machinery based on time-frequency analysis and principal component analysis

Published:2019-03 Issue: Volume:442 Page:645-656
ISSN:0022-460X
Container-title:Journal of Sound and Vibration
language:en
Short-container-title:Journal of Sound and Vibration

Author:

Song Yongxing,Liu Jingting,Chu Ning,Wu Peng,Wu Dazhuan

Funder

National Key R&D Plan of China

Central Universities

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Acoustics and Ultrasonics,Condensed Matter Physics

Reference30 articles.

1. Fault diagnosis of rotating machinery based on auto-associative neural networks and wavelet transforms;Sanz;J. Sound Vib.,2007

2. Artificial intelligence for fault diagnosis of rotating machinery : a review;Liu;Mech. Syst. Signal Process.,2018

3. An assessment of envelope-based demodulation in case of proximity of carrier and modulation frequencies;Shahriar;Mech. Syst. Signal Process.,2017

4. Amplitude and frequency demodulation analysis for fault diagnosis of planet bearings;Feng;J. Sound Vib.,2016

5. Empirical mode decomposition, an adaptive approach for interpreting shaft vibratory signals of large rotating machinery;Yang;J. Sound Vib.,2009

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