A NEW DATA MINING APPROACH FOR GEAR CRACK LEVEL IDENTIFICATION BASED ON MANIFOLD LEARNING-Reference-Cited by-同舟云学术

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A NEW DATA MINING APPROACH FOR GEAR CRACK LEVEL IDENTIFICATION BASED ON MANIFOLD LEARNING

Published:2012-03-01 Issue:1 Volume:18 Page:
ISSN:2029-6983
Container-title:Mechanika
language:
Short-container-title:mech

Author:

Li Zhixiong,Yan Xinping,Jiang Yu,Qin Li,Wu Jingping

Publisher

Kaunas University of Technology (KTU)

Subject

Condensed Matter Physics

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A diagnosis framework based on domain adaptation for bearing fault diagnosis across diverse domains;ISA Transactions;2020-04

2. A fault diagnosis approach for autonomous underwater vehicle thrusters using time-frequency entropy enhancement and boundary constraint–assisted relative gray relational grade;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2019-07-18

3. Fault degree identification method for thruster of autonomous underwater vehicle using homomorphic membership function and low frequency trend prediction;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2018-04-18

4. Research on wind turbine safety analysis: Failure analysis, reliability analysis, and risk assessment;Environmental Progress & Sustainable Energy;2016-07-18

5. Detection of gear cracks in a complex gearbox of wind turbines using supervised bounded component analysis of vibration signals collected from multi-channel sensors;Journal of Sound and Vibration;2016-06

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