A Review on Fault Diagnosis of Gear-Box by Using Vibration Analysis Method

ABSTRACT Gearboxes are important part of mechanical transmission systems, and they are used to transmit power, torque etc. between shafts of machineries. Generally gearbox work 24 hours a day in the production system so that any failures in the gearboxes may introduce unwanted downtime, expensive repair cost, and even danger of human casualties. So that it is very important to detect and diagnose faults in gearbox working at initial stage for its effective working. There are various methods to detect faults in gearbox. Among them vibration measurement is an effective way to detect any abnormality/fault produced in a gearbox as every machine has its own specific vibration signature as faults occurs in any part of gearbox/machinery its vibration signature changes accordingly. By measuring and analysing the machine’s vibration, it is possible to govern both the nature and severity of the defect, and hence predict the machine’s failure. The vibration signal of a gearbox conveys the signature of the fault in the gears, and early fault detection of the gearbox is possible by examining the vibration signal using different signal processing techniques. This paper gives a brief review on various techniques used for analysing the faults of gearbox based on vibration analysis method with small insight on new approach used for diagnosis of gearbox such as Artificial Neural Network, fuzzy sets and some emerging technology in gear fault analysis.