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The past decade significant research effort has concentrated on the DI diesel engine due to stringent future emission legislation which requires drastic reduction of engine tail pipe pollutant emissions, mainly PM and NOx, without significant deterioration of specific fuel consumption. Towards this effort, the important role of modeling to investigate and understand the impact of various internal measures on combustion and emissions has been widely recognized. Phenomenological models can significantly contribute towards this direction because they have acceptable prediction capability and the advantage of low computational time. This enables the production of results, on a cycle basis, that indicate the effect of various parameters on both engine performance and emissions. Therefore their use can significantly reduce engine development time (i.e. reduction of experimental effort) and cost.

In the present work is presented a detailed evaluation of an advanced diagnostic technique, developed by the authors, for the determination of diesel engine condition and tuning. For this purpose, an extended experimental investigation has been conducted on a prototype test engine installed in the author's laboratory. During the measurements various operating parameters (i.e. torque, fuel consumption, injection pressure, cylinder pressure, peripheral temperatures etc.) have been recorded at various operating conditions (i.e. engine speed and loads). Initially the engine operated at its normal conditions (i.e. reference state). Then, two “virtual” faults (i.e. reduction of injector opening pressure and increase of cylinder mass leakage) were introduced, that affected engine operation.