Deviation analysis and failure diagnosis of diesel engine

Abstract

A computer-based filling and emptying diesel engine simulation model has been developed, which can simulate the operational behavior of diesel engine under different performance failures and different running conditions. This paper firstly describes the simulation models and simulated results of a four-stroke, turbo-charged diesel engine. The calculated results in terms of relative deviation are analyzed which reveal the relations between thermodynamic variables, performance failures, running conditions and ship operation conditions. Further, it provides more complete understanding of failures' behaviors under different running conditions and help to detect the failures amongst complex symptoms. Relative deviation of thermodynamic variables under different running conditions exhibits strong similarity, which induces a new information source for failure detection. Compared to experiments on board ship, this simulative modeling possesses advantages of shorter studying period, less research investment, lower risk in failure simulation and more symptomatic information. Finally an example is introduced to verify the feasibility of relative deviation analysis in the use of diesel engine failure diagnosis with artificial neural network method.