Published Paper Details:

This research investigates the early detection of faults in bearings at the inner and outer race using condition monitoring techniques. Bearings play a critical role in various mechanical systems, and early fault detection is essential for preventing catastrophic failures and minimizing downtime. The study aims to evaluate the effectiveness of condition monitoring methods in identifying faults in both inner and outer races of bearings. A comprehensive literature review is conducted to provide context and identify gaps in existing research. The methodology involves selecting appropriate bearing types and fault scenarios, designing an experimental setup, and employing various conditions monitoring techniques for data acquisition and processing. Data analysis is performed to identify fault signatures and assess the accuracy of fault detection. Results indicate the efficacy of condition monitoring techniques in detecting faults at both inner and outer races, with insights into factors influencing early fault detection. The findings contribute to enhancing bearing maintenance practices and provide valuable guidance for future research in the field of condition monitoring.