Real Time Adaptive Model Based FDIE of Diesel Engine Air Handling System

Developed is a model based fault detection, isolation and estimation study of a diesel engine air handling system. Diagnostic is based on an air path model, wherein the coefficients of a healthy system model are compared with that of adapted online coefficients during steady state operating conditions. Fault estimation is realized by analyzing the residual between the adapted coefficient and those of the original (healthy) model. This approach is shown to be robust to modeling errors, sensor noise and process variability. The proposed algorithm is experimentally validated on the intake air path of a Cummins 5.9 L diesel engine and is shown to effectively perform intake leakage FDIE.