IJERT-Automation of Gearbox Fault Diagnosis using Sound and Vibration Signal (original) (raw)

2014, International Journal of Engineering Research and Technology (IJERT)

https://www.ijert.org/automation-of-gearbox-fault-diagnosis-using-sound-and-vibration-signal https://www.ijert.org/research/automation-of-gearbox-fault-diagnosis-using-sound-and-vibration-signal-IJERTV3IS051908.pdf Gears have wide variety of applications. They form the most important component in a power transmission system. Advances in engineering technology in recent years have brought demands for gear teeth, which can operate at ever increasing load capacities and speeds. The gears generally fail when tooth stress exceeds the safe limit. Therefore, it is essential to determine the maximum stress that a gear tooth is subjected to, under a specified loading. Analysis of gears is carried out so that these can be prevented from failure. When failure occurs, they are expensive not only in terms of the cost of replacement or repair but also the cost associated with the downtime of the system of which they are a part. Reliability is thus a critical economic factor and for designer to produce gears with high reliability they need to be able to accurately predict the stress experienced by the loaded gear teeth. This paper deals with the automation of fault diagnosis process of gearbox using sound and vibration signals obtained from the gearbox with 3 different fault conditions, 3 different speeds and 3 different loads. Sound and Vibration time domain signals are obtained for all the above conditions and the obtained signals for faults are compared with the time domain signals of good gear.

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