• M. Maniraj

The gearbox is a central component of spinning machinery and has been commonly used in various industrial equipment. Unexpected failure of the gearbox may result in severe economic losses. It is also very important to detect early signs of fault from gearboxes. There are many ways to find defects in the gearbox. The primary method for tracking the condition and finding faults in the gearbox is vibration signal analysis. Vibration analysis was used as a predictive maintenance technique and as a support for system maintenance decisions.Using effective signal processing techniques, shifts in vibration signals induced by faults may be observed to help determine the health condition of the gearbox. Through calculating and evaluating the vibration of the machine, it is possible to assess the extent and magnitude of the defect and thereby anticipate the malfunction of the machine. The vibration signal of the gearbox bears the signature of the failure in the gearbox, and early identification of the gearbox is possible by examining the vibration signal using various signal processing techniques.This paper provides a short overview of the different methods used to analyze gearbox faults based on the vibration analysis process, with some insight into the modern approach used to diagnose gearboxes, such as the Artificial Neural Network, fuzzy sets and some emerging technologies in gear fault analysis.

Fault diagnosis, Vibration, Gearbox, Vibration measurement techniques, Vibration signature.

"Study of Gearbox Failure Identification using Vibration Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.113-115, March-2019, Available :http://www.jetir.org/papers/JETIREQ06020.pdf

"Study of Gearbox Failure Identification using Vibration Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp113-115, March-2019, Available at : http://www.jetir.org/papers/JETIREQ06020.pdf