Spark Ignition Direct Injection (SIDI) technology enables better fuel economy and tail pipe emissions in vehicles equipped with gasoline engines. The SIDI technology relies on the system’s ability to deliver fuel at high pressures (20-40 MPa). Such high pressure systems are prone to leakage if subjected to excessive vibrations, improper fitting, or failure of pressure seals over time due to cyclical loading. Fuel leakage can directly affect the operation of the engine and can cause customer inconvenience. It, therefore, becomes very important to devise a scheme that can effectively diagnose and prognose such kind of system fault. In this report, algorithm development for diagnosis and prognosis of leaks in high pressure fuel delivery system is presented. In particular, pressure profile of fuel in the common rail at engine cranking and engine shutdown are studied to generate schemes for fault detection, fault isolation, and fault prediction. The developed results are equally applicable to direct injection diesel engines given their similarity of operating principles and components.
How to Cite
Prognosis, Anomaly Detection, Fault Isolation, Fault Prediction, SIDI, SIDI Leak Detection, GDI, GDI Leak Detection
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