Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition-Reference-Cited by-同舟云学术

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Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition

Published:2019-01 Issue: Volume:84 Page:82-95
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Miao Yonghao,Zhao Ming,Lin Jing

Funder

National Natural Science Foundation of China

China Scholarship Council

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference51 articles.

1. Multifractal entropy based adaptive multiwavelet construction and its application for mechanical compound-fault diagnosis;He;Mech Syst Signal Process,2016

2. Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings;Miao;Mech Syst Signal Process,2017

3. Enhancement of autoregressive model based gear tooth fault detection technique by the use of minimum entropy deconvolution filter;Endo;Mech Syst Signal Process,2007

4. Maximum correlated kurtosis deconvolution and application on gear tooth chip fault detection;McDonald;Mech Syst Signal Process,2012

5. Sparse maximum harmonics-to-noise-ratio deconvolution for weak fault signature detection in bearings;Miao;Meas Sci Technol,2016

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