Application of vibration signature analysis techniques for rolling element bearing fault identification

Abstract

It is observed that most of the research in bearing fault diagnosis was done in case of single-point defect on rolling element bearing components. A lot of scope is available for multiple and generalised defect diagnosis. In this present work, vibration signals for different healthy and faulty conditions of rolling element bearings are collected and analysed with the help of vibration signature analysis techniques. The test bearings are used with multiple defects on bearing components. An investigation on the application of vibration signature analysis techniques to detect the faults in a rolling element bearings using time and frequency domain techniques is done to find out the best suitable techniques for fault detection in case of multiple defects in bearing components. It is expected that the feature extracted in this work may be used for further development of automate fault diagnostics systems in case of multiple defects on bearing components.

Keywords:

• Condition-based maintenance
• condition monitoring
• vibration analysis
• fault diagnosis
• rolling element bearings

Additional information

Notes on contributors

P Jayaswal

Pratesh Jayaswal received his BE degree in Mechanical Engineering from Madhav Institute of Technology and Science, Gwalior, India, in 2000 and ME degree in Tribology and Maintenance from Shree Govindram Secsaria Institute of Technology and Science, Indore, India, in 2003. He has submitted his thesis for the award of PhD degree in the Department of Mechanical Engineering, Madhav Institute of Technology and Science, Gwalior, under Rajiv Gandhi Technical University, Bhopal, India. His research areas are vibration analysis, condition monitoring, and application of advanced signal processing techniques in machine fault signature analysis. He is a Reader and Head in the Department of Mechanical Engineering, Madhav Institute of Technology and Science, Gwalior, India. He has published and reviewed several international research papers and technical books. He has awarded “Outstanding Young Person of Gwalior” for his contribution in Academic & Leadership/Accomplishment in the year 2009.

S N Verma

Prof S. N. Varma, formerly Vice Chancellor of Rajiv Gandhi Proudyogiki Vishwavidyalaya (State Technical University of MP), India, Dean Industrial Tech, Dean Academic, and Professor and Head of Mechanical and IPE Department has made significant contributions to industry, research and development, teaching, and administration during his professional career spanning over 35 years. His teaching career started in 1987 at the engineering college of Madhya Pradesh, Shri G S Institute of Technology & Science, Indore, India. While teaching subjects like operations research, industrial engineering, information systems and project management to undergraduate and postgraduate students, he completed his double ME in Computer Engineering & Industrial Engineering Management. He has his PhD. from IITB, Mumbai, in operations management. He received the best paper award in doctoral category from Society of Operations Management in 2001. He has guided many major projects of postgraduate students based on inventory, productivity, just-in-time, total quality management, supply chain and total productive maintenance.