Intelligent fault diagnosis method for marine diesel engines using instantaneous angular speed
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Link
http://link.springer.com/content/pdf/10.1007/s12206-012-0621-2.pdf
Reference30 articles.
1. Y. Ishii, A half century with marine diesel engines, International Maritime Technology, 109(1) (1997) 33–45.
2. V. T. Lamaris and D. T. Hountalas, A general purpose diagnostic technique for marine diesel engines — Application on the main propulsion and auxiliary diesel units of a marine vessel, Energy Conversion and Management, 51(4) (2010) 740–753.
3. J. Son, S. Ahn, J. Bae and M. Ha, Man, Fretting damage prediction of connecting rod of marine diesel engine, Journal of Mechanical Science and Technology, 25(2) (2011) 441–447.
4. Y. Zhang, J. Mao and Y. Xie, Engine wear monitoring with OLVF, Tribology Transactions, 54(2) (2011) 201–207.
5. J. Yang, L. Pu, Z. Wang, Y. Zhou and X. Yan, Fault detection in a diesel engine by analysing the instantaneous angular speed, Mechanical Systems and Signal Processing, 15(3) (2001) 549–564.
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