TY - JFULL AU - Matta S. N. S. Kiran and Manikantadhar Maheswaram and Akshat Upadhyay and Rohit Mishra and Bhagat Singh PY - 2022/12/ TI - Online Structural Health Monitoring of Ball Bearings T2 - International Journal of Mechanical and Industrial Engineering SP - 299 EP - 305 VL - 16 SN - 1307-6892 UR - https://publications.waset.org/pdf/10012784 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 191, 2022 N2 - A bearing is a very common and useful component of mechanical systems in order to transfer power from one end to another. Therefore, to ensure the accountability and robustness of the rotating mechanical systems, the bearing part's health condition must be checked at regular intervals, also known as preventive maintenance. This condition may lead to unnecessary higher maintenance costs and later result in higher production costs. These costs can be minimized by diagnosing the faulty bearing in its incipient stage. This paper describes an approach to detect rolling bearing defects based on Empirical Mode Decomposition. The novelty of the proposed methodology is validated experimentally using Case Western Reserve University bearing's data sets. The selected data sets comprise the two vibration signals, i.e., inner race and outer, for healthy and faulty conditions. ER -