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. 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 sensitivity of optical encoders to pistons fault detection techniques is experimentally investigated by applying IAS analysis under different operating conditions.
Real Time Car Engine Condition Monitoring By Using Instantaneous Angular Speed Analysis (IAS)
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