Vehicle driveline system and its working accuracy play an important role in the performance of car. The purpose of this study is to provide an appropriate mechanism for investigating, identifying and determining the position and size of defects in the vehicle power transmission system. This is based on the patterns of the residual signal, obtained from a simulated model of the system. Neuro-fuzzy networks have been used in diagnosis of defects because of its specific advantages and capabilities in pattern recognition. Simulation results demonstrate that the resulting fault detection system is able to properly locate the fault types under all test conditions, and is sensitive also to fault size. Test and simulation results using MATLAB software is given at the end.

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