Experimental setup for fault detection of rolling contact bearing for prediction of RUL

• Main Authors: Solanke, Rahul S., Kondhalkar, Ganesh E., Diwakar, Garikapti, Pawar, Ashish R.
• Format: Conference Proceeding
• Language: English
• Subjects: Antifriction bearings; Failure modes; Fault detection; Production scheduling; Rolling contact; Vibration
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0157139

Bearing plays a vital role in every rolling part of the mechanical machine. A sudden failure of it results in machine breakdown and cost huge production loss as well as a delayed production schedule. So, for every mechanical machine, Predicting the bearing’s remaining useful life with precision is essential. There are several methods being investigated right now for calculating the bearing’s Remaining serviceable Life, However, none of them is reliable since data noise impairs the forecast of the Remaining Serviceable Life. Bearings failure occurs because of several failure modes, each of which gives a different failure behavior pattern. This research paper focuses on the experimental platform for testing bearing at different speeds and load conditions. The experimental setup gives accurate vibration signal data processed through Arduino and A rolling contact bearing’s remaining serviceable life is forecasted mathematically using Matlab. The objective of work is to build theoretical model for the bearing fault vibration signature to identify localized defects on the bearing and validate with experimental results [1].