The main objective of this work was to utilize instantaneous angular motion analysis for monitoring the condition of car engine, and to develop a reliable technique for real-time fault detection. In addition, this project explains a technique that is reliable for condition monitoring of a car engine by applying instantaneous angular speed (IAS) analysis. The rotating of the crankshaft is affected by piston velocity that was derived in this report using the equation. The experimental work and the analysis discussed in this project provide a fine understanding of the damage effects on the instantaneous angular speed. Moreover, it is showing the details in crankshaft motion using angular motion technique. Fault detection principle was recognized using the amplitude of the optical encoder sign wave during the fault The optical encoder is used to acquire the angular motion data. The signals were obtained and analyzed in the phase domain using the signal averaging to determine fault and its position.
National Instruments hardware is used and NI LabVIEW software code is developed for real time. The new approach using LabVIEW real-time data analysis of the optical encoder output digital signal represented a reliable method to monitor and detect faults in car engine. The sensitivity of optical encoders to pistons fault detection techniques is experimentally investigated by applying IAS analysis under different operating conditions.