Recent trend in condition monitoring for equipment fault diagnosis-Reference-Cited by-同舟云学术

Recent trend in condition monitoring for equipment fault diagnosis

Published:2013-03-28 Issue:3 Volume:5 Page:230-244
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Bhattacharya Abhisekh,Dan Pranab K.

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

http://link.springer.com/content/pdf/10.1007/s13198-013-0151-z.pdf

Reference177 articles.

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3. Ali M et al. (2006) Advances in applied artificial intelligence. Lecture notes in artificial intelligence, vol 4031, Springer, Berlin, pp 1149–1158

4. Bellini A et al. (2000) ENEL’S experience with on-line diagnosis of large induction motors cage failures. 35th IAS annual meeting and world conference on industrial applications of electrical energy—Rome

5. Al Kazzaz SAS, Singh G (2003) Experimental investigations on induction machine condition monitoring and fault diagnosis using digital signal processing techniques. Electr Power Syst Res 65:197–221

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