Available online at www.sciencedirect.com ScienceDirect Materials Today: Proceedings 4 (2017) 3802–3806 www.materialstoday.com/proceedings 2214-7853©2017 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of Conference Committee Members of 5th International Conference of Materials Processing and Characterization (ICMPC 2016). 5th International Conference of Materials Processing and Characterization (ICMPC 2016) Implementation of Condition Based Diagnosis as Maintenance Improvement Strategy in Turbo Blower Assembly Lakhan Patidar a* ,Pradeep Soni b , Vimlesh Soni c , Vishal Parashar d a* Research Scholar,Department of Mechanical Engineering,Maulana Azad National Institute of Technology, Bhopal (M.P.) - 462003, India b,c,d Assistant Professor,Department of Mechanical Engineering, Maulana Azad National Institute of Technology, Bhopal (M.P.) - 462003, India Abstract In the present work, a test rig resembling to the section of the turbo blower motor assembly used in heavy manufacturing industries is developed. The purpose is to reveal significant increase in a machine's vibration level to warn about the developing problems due to the deteriorating health of bearings which can be easily identified using condition based monitoring. Vibration spectrum analysis, a predominant CBM technique is used in this study because vibration signature reveals a lot of important information about the fault generation within them. This paper discusses vibration severity causing potential failures in turbo blower thus applying condition monitoring to avoid premature failure thus, improving productivity. ©2017 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of Conference Committee Members of 5th International Conference of Materials Processing and Characterization (ICMPC 2016). Keywords:Turbo Blower; Condition Monitoring; Vibration Spectrum Analysis. 1. Introduction Manufacturing productivity of a company is an important issue for its success and longtime stability in the stern competitive global market. * Corresponding author. Tel.: +09479953671. E-mail address: rpurohit73@gmail.com