Gear Fault Detection Using Vibration Analysis and Continuous Wavelet Transform

AbstractGears are the one of the most important machine components and widely used in transmission design of automobiles and other rotating machinery. In industry, breakdown of such crucial components causes heavy losses. This paper present two signal processing techniques used for the fault detection of a gear used in an internal combustion engine, they are conventional vibration spectrum analysis and continuous wavelet transform. A fault diagnosis engine test setup is built for experimental studies to acquire vibration signal from a healthy as well as simulated faulty gear. The vibration signals are acquired from internal combustion engine using accelerometer, under healthy and simulated faulty gear conditions. This paper represents application of the conventional vibration spectrum analysis and Morlet wavelet as a continuous wavelet transform used for the fault diagnosis of the gear