Engine Sound Analyzer Using Fast Fourier Transform and Application for Motorcycle Engines

摘要

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 several different fault conditions. The motorcycle gasoline engine was our target of this study. The engine sound has been recorded by using a sound Cather Kowaseiki (Kek-7-1) at the engine with pre-determined directions base on Honda standart maintenance. The conditions of engine faults including idling condition and the engine that is not smooth while idling. In the signal processing of the sound, we use three signal features including fundamental frequency, Fast Fourier Transform and 3D analysis diagram. Thereafter, the important differences between normal engine and the fault engines are concluded. These proposed signal features can be used to discriminate all faulth conditions and the engine with normal condition effectively.