الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Fault diagnosis and rectification of the main propulsion machinery is very important for the safety and reliability of the ship operation. Early detection and rectification of faults results in efficient and economical operation, and prevents faults from damaging other engine parts, which might stop the engine for a major repair, delaying the ship, and results loss of revenue.
In recent years, more attention has been given to reducing exhaust emission produced by internal combustion engines. Correct or fault-free engine operation is a major factor determining the amount of exhaust gas emissions produced. Hence on-board diagnostic systems, which monitor engine health, assists in complying with the international regulations regarding ship safety, and prevention of air pollution with nitrogen and carbon oxides, and increasing engine reliability.
Modem condition monitoring and diagnostic systems are based on artificial intelligence systems using signals from engine mounted sensors which are processed by the system to indicate the engine conditions.
In this work a system of fault diagnosis for slow speed marine diesel engines, working at fully loaded ship, ballast condition ship and all engine powers has been developed. The system is capable of identifying the fault type and severity. This is done by carrying out experiments on Norcontrol Dieselsim Engine Room Simulator, and taking readings of the simulated engine performance parameters for healthy engine and for a number of simulated faults.
The faults studied in this work are:
1 Injection timing early.
2 Injection timing late.
2 Piston ring wear.
4 Scavenge air port deposits.