Fast time-frequency manifold learning and its reconstruction for transient feature extraction in rotating machinery fault diagnosis-Reference-Cited by-同舟云学术

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Fast time-frequency manifold learning and its reconstruction for transient feature extraction in rotating machinery fault diagnosis

Published:2019-07 Issue: Volume:141 Page:380-395
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Ding Xiaoxi,Li Quanchang,Lin Lun,He Qingbo,Shao Yimin

Funder

National Natural Science Foundation of China

Program for New Century Excellent Talents in University

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

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

Reference32 articles.

1. Advances in electrical machine, power electronic, and drive condition monitoring and fault detection: state of the art;Riera-Guasp;IEEE Trans. Ind. Electron.,2015

2. A review on data-driven fault severity assessment in rolling bearings;Cerrada;Mech. Syst. Signal Process.,2018

3. An integrated framework for online diagnostic and prognostic health monitoring using a multistate deterioration process;Moghaddass;Reliab. Eng. Syst. Safe.,2014

4. Research on the energy control of a dual-motor hybrid vehicle during engine start-stop process;Tang;Energy,2019

5. Wavelets for fault diagnosis of rotary machines: a review with applications;Yan;Signal Process.,2014

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