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The Development of Diesel Engine Room Fault Diagnosis System Using a Correlation Analysis Method  

Kim, Young-Il (소나테크(주))
Oh, Hyun-Kyung (한국해양대학교 대학원 제어계측공학과)
Yu, Yung-Ho (한국해양대학교 IT공학부)
Publication Information
Journal of Advanced Marine Engineering and Technology / v.30, no.2, 2006 , pp. 253-259 More about this Journal
Abstract
There is few study which automatically diagnoses the fault from ship's monitored data. The bigger control and monitoring system is. the more important fault diagnosis and maintenance is to reduce damage caused by system fault. This paper proposes fault diagnosis system using a correlation analysis algorithm which is able to diagnose and forecast the fault from monitored data and is composed of fault detection knowledge base and fault diagnosis knowledge base. For all kinds of ship's engine room monitored data are classified with combustion subsystem, heat exchange subsystem and electric motor and pump subsystem, To verify capability of fault detection, diagnosis and prediction, FMS(Fault Management System) is developed by C++. Simulation by FMS is carried out with population data set made by the log book data of 2 months duration from a large full container ship of H shipping company.
Keywords
FMS; Fault diagnosis system;
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