Detecting Air Leaks in an Engine Intake Manifold Using Nonlinear PCA

Abstract

This paper describes the application of nonlinear principal component analysis (NLPCA) for the detection of air leaks in the intake manifold of internal combustion engines. Such faults, if undetected, can lead to inefficient engine operation, result in expensive repairs and cause an increased level of exhaust emissions. Using a VW 1.9L TDI diesel engine, several data sets were recorded that describe normal steady-state behaviour and the influence of air leaks at various speed and pedal positions. These data sets were then analysed using an NLPCA based monitoring scheme. It was found that even small air leaks could be detected.