%0 Journal Article
	%A Matta S. N. S. Kiran and  Manikantadhar Maheswaram and  Akshat Upadhyay and  Rohit Mishra and  Bhagat Singh
	%D 2022
	%J International Journal of Mechanical and Industrial Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 191, 2022
	%T Online Structural Health Monitoring of Ball Bearings
	%U https://publications.waset.org/pdf/10012784
	%V 191
	%X 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.
	%P 300 - 305