A parameter-adaptive stochastic resonance based on whale optimization algorithm for weak signal detection for rotating machinery-Reference-Cited by-同舟云学术

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A parameter-adaptive stochastic resonance based on whale optimization algorithm for weak signal detection for rotating machinery

Published:2019-03 Issue: Volume:136 Page:658-667
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

He Biao,Huang Yan,Wang Danyang,Yan Bing,Dong Dawei

Funder

Fundamental Research Funds for the Central Universities of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference37 articles.

1. Advanced time-frequency representation in voice signal analysis;Mika;Adv. Sci. Technol. Res. J.,2018

2. Identification and monitoring of noise sources of CNC machine tools by acoustic holography methods;Józwik;Adv. Sci. Technol. Res. J.,2016

3. Fault diagnosis of single-phase induction motor based on acoustic signals;Glowacz;Mech. Syst. Signal Process.,2019

4. Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals;Glowacz;Measurement,2018

5. A hybrid intelligent multi-fault detection method for rotating machinery based on RSGWPT, KPCA and Twin SVM;Liu;ISA Trans.,2017

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