Fault information extraction of mechanical equipment based on independent component analysis

Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology

Volumn 39, Issue 9, 2006, Pages 1066-1071

  Xu, Yong Gang ^a   Li, Qiang ^a   Wang, Zheng Ying ^a   Wang, Tai Yong ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

Blind source separation; Condition monitoring; Fault diagnosis; Independent component analysis

Indexed keywords

BLIND SOURCE SEPARATION; CONDITION MONITORING; EDDY CURRENTS; INDEPENDENT COMPONENT ANALYSIS; SENSORS;

CROSS CORRELATION FUNCTIONS; FAULT DIAGNOSIS; VIBRATION SIGNALS;

VIBRATIONS (MECHANICAL);

EID: 33750908241     PISSN: 04932137     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

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2. Hyvarinen A, Karhunen J, Oja E. Independent Component Analysis [M]. New York: John Wiley and Sons, Inc, 2001.
3. Zhong Zhenmao, Chen Jin, Zhong Ping. The research of blind source separation (BSS) in machinery fault diagnosis [J]. International Journal of Plant Engineering and Management, 2001, 6 (1): 41-46.
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6. Zi Yanyang. Research on Practical Diagnosis Techniques Based on Principle of Nonstationary Signal Feature Extraction [D]. Xi'an: School of Mechanical Engineering, Xi'an Jiaotong University, 2000 (in Chinese).
7. Xu Yonggang. Application Research on New Methods in Time Domain for Monitoring and Diagnosis of Electricme-chanical Equipment [D]. Xi'an: School of Mechanical Engineering, Xi'an Jiaotong University, 2003 (in Chinese).