An analysis of sound for fault engine

Abstract

Various types of faults of the gasoline engine may result in similar symptoms. Sound analysis of engine has been conducted to diagnose the engine faults. This study presents a study of sound analysis of the normal engine and the engine with three different fault conditions. The gasoline engine was our target of this study. The engine sound has been recorded by using a microphone at the engine room for three directions. Three conditions of engine faults including the engine that is not smooth while idling, the engine that goes missing while idling and the engine that has no power are simulated. In the signal processing of the sound, we use five signal features including fundamental frequency, long term spectrum, energy, long term cestrum and zero crossing rate. Thereafter, the important differences between normal engine and the fault engines are concluded. These proposed signal features can be used to discriminate all three conditions and the engine with normal condition effectively. © 2014 Science Publication.