Abstract
Keywords - Fault detection and diagnosis, Automobile power trains, Common rail systems, Parity space based methods for FDI, Common rail system identification and modeling
Due to the rising reduction requirement on emissions, highly-developed common rail fuel injection systems are widely-used in modern internal-combustion engines. In order to fulfill the different emission standards, reduce maintenance costs and increase the reliability, these systems need to be supervised.
Therefore a fault-detection module for such a common rail system has been developed and is presented in this paper. Within this module five features are generated by appropriate modelbased signal processing. In particular signal model-based methods as well as parity equations are applied. The model-based fault detection algorithms have been verified on an Opel fourcylinder Diesel engine at the testbed. The measurements have shown, that the considered faults can be detected and isolated by the provided features.