Diagnostic on Car Internal Combustion Engine through Noise

Internal Combustion Engines are known for their unique sound characteristics. Through these characteristics, an experienced car mechanic will be able to diagnose the type of engine damage just by listening sound. This reduces need disassemble components pinpoint machine faults which also contributes a significant reduction in overall repair time. The main aim this paper is build process identify faulty machines through noise analysis with visual data determine at early stage. By capturing various types sounds, visualization uses healthy sounds and broken obtained from cars as well that usually found vehicles. audio used signal processing combined linear regression classification algorithm. Visualization can distinguish commonly damaged or engines such clicks, ticks, knocks other internal combustion engines. comes Kaggle, public widely general science activities. Visually, vehicle seen on brand best terms results using show R-squared score (R^2) called coefficient determination reaching 91.95%.