• Manpreet Singh
• Rajeev Kumar
• Sumit Shoor
• Piyush Gulati
• Jaiinder preet Singh, Harpreet Singh

Bearing is an important element in any machine as most of the failures are happening due to bearing failure. Therefore, bearing needs to be inspected for its faults regularly to verify its health so that shutdown of the machine should not occur during its repair. This paper aims to review the trending techniques used in the detection of bearing faults using signal processing of the vibration signal. The main advantage of using these techniques is that one needs not to dis-mental the bearing for the purpose of inspection. The paper is mainly structured in two parts. In the first part the main signal processing techniques are discussed. In the second part signal was taken from the defective bearing and results were drawn in context by using signal processing techniques.

"Detection of outer race defect in bearing using signal processing techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.543-552, December 2018, Available :http://www.jetir.org/papers/JETIREB06067.pdf

"Detection of outer race defect in bearing using signal processing techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp543-552, December 2018, Available at : http://www.jetir.org/papers/JETIREB06067.pdf