[306] Fault diagnosis in gearbox with invasive and non-invasive sensing approach: a review
M Alotaibi, B Asli and M Khan
Cranfield University, UK
The gearbox is a significant part of the machine component; therefore, it requires sufficient maintenance to perform well. However, the gearbox’s fault diagnosis is influenced by many parameters. This paper investigated the methods and tools used in the fault diagnosis technique. The gearbox contains several gears and bearings, which generate vibration signals that mislead the diagnosis process and the noise influence also conflicts with the acquired signal. The gear shaft misalignment has a high impact on the gear teeth and bearing performance; therefore, the investigation focused on the gear shaft misalignment types, such as axial, radial, yaw and pitch misalignment. The gear mesh frequency (GMF) can be measured in different ways, including invasive and non-invasive techniques. However, the ratio between the GMF and the sidebands during faulty and healthy operation conditions has not been investigated enough to enrich the GMF and sidebands energy analysis technique, such as variant speeds and torques. The influence of different types of lubrication on the GMF and sidebands energy is identified. Moreover, the influences and impacts of the teeth geometric design of the tooth ellipse on the GMF energy amplitude are investigated. Finally, the effect of cracked, chopped and lost teeth in the GMF energy is reviewed.
