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http://dx.doi.org/10.12673/jant.2011.15.1.018

The Fault Diagnosis of Marine Diesel Engines Using Correlation Coefficient for Fault Detection  

Kim, Kyung-Yup (한국해양대학교)
Kim, Yung-Ill (소나테크)
Yu, Yung-Ho (한국해양대학교)
Abstract
This paper proposes fault diagnosis system which is able to diagnose the fault from present operating condition by analyzing monitored signals with present ship monitoring system without additional sensors. For this all kinds of ship's engine room monitored data are classified with combustion subsystem, heat exchange subsystem and electric motor and pump subsystem by analyzing ship's operation data. To extract dynamic characteristics of these subsystems, log book data of container ship of H shipping company are used.
Keywords
Correlation Coefficient; Fault Detection; Marine Diesel Engines; Statistical Analysis Method;
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1 A.G.Parlos, O.T.Rais, and A.F.Atiya, "Mult-step-ahead prediction using dynamic recurrent neural networks," Neural networks 13, pp.756-786, 2000.
2 A.J..C.Sharkey, N.E.Sharkey, and O.C.Gohinath, "Diverse neural net solutions to a fault diagnosis problem," Neural Computing and Applications, 4, pp.218-227, 1996.   DOI   ScienceOn
3 천행춘, "신경회로망과 퍼지추론을 이용한 선박디젤기관의 고장 진단 예측 시스템," 한국해양대학교 공학박사 학위논문, 2003.
4 김영일, "통계적 분석기법을 이용한 선박디젤기관의 고장진단 및 예측시스템에 관한 연구," 한국해양대학교 공학박사 학위논문, 2005.