Gear fault detection using vibration analysis and continuous wavelet transform

被引：19

作者：

Vernekar, Kiran ^{[1
]}

Kumar, Hemantha ^{[1
]}

Gangadharan, K., V ^{[1
]}

机构：

[1] Natl Inst Technol Karanataka, Dept Mechna Engn, Mangalore 575025, India

来源：

INTERNATIONAL CONFERENCE ON ADVANCES IN MANUFACTURING AND MATERIALS ENGINEERING (ICAMME 2014) | 2014年 / 5卷

关键词：

Fault diagnosis; Fourier transformation; Continuous wavelet transform; Morlet wavelet; DIAGNOSIS;

D O I：

10.1016/j.mspro.2014.07.492

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Gears 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. (C) 2014 Published by Elsevier Ltd.

引用

页码：1846 / 1852

页数：7

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