Multivariate Dynamic Mode Decomposition and Its Application to Bearing Fault Diagnosis-Reference-Cited by-同舟云学术

Multivariate Dynamic Mode Decomposition and Its Application to Bearing Fault Diagnosis

Published:2023-04-01 Issue:7 Volume:23 Page:7514-7524
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Zhang Qixiang¹,Yuan Rui¹^ORCID,Lv Yong¹^ORCID,Li Zhaolun¹^ORCID,Wu Hongan¹^ORCID

Affiliation:

1. Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, and the Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology (WUST), Wuhan, China

Funder

National Natural Science Foundation of China

Natural Science Foundation Innovation Group Program of Hubei Province

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10089784/10053991.pdf?arnumber=10053991

Reference37 articles.

1. Empirical Wavelet Transform

2. Factorization strategies for third-order tensors

3. Fast computation of the kurtogram for the detection of transient faults

4. Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging

5. Cyclostationary Analysis of Irregular Statistical Cyclicity and Extraction of Rotating Speed for Bearing Diagnostics With Speed Fluctuations

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