Author:
Gopikuttan Lasithan Lasyam,Veettil Shouri Puthan,Govindan Rajesh Vazhayil
Abstract
As per ISO-10816, electric motors up to 15 kW are classified as Class I machines, and the major reason for their failure is that the vibrations in them are above the alert limit. This study presents a new model for predicting the condition-based maintenance (CBM) initiation points through vibration measurement in a system of Class I machines. The proposed model follows the accelerated life testing (ALT) procedure. ALT includes the formation of an artificial wear environment in bearings to analyze the resultant system vibrations on system availability. The artificial wear environment created is close to the real industrial situation. The results show that the prediction of the CBM initiation points is based on the established relation between the system availability and vibrations. Furthermore, a relation between the available time for maintenance initiation and different vibration velocities is demonstrated.
Publisher
Taiwan Association of Engineering and Technology Innovation
Subject
Management of Technology and Innovation,General Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Environmental Engineering,General Computer Science
Reference29 articles.
1. H. D. Goel, J. Grievink, P. M. Herder, and M. P. Weijnen, “Integrating Reliability Optimization into Chemical Process Synthesis,” Reliability Engineering and System Safety, vol. 78, no. 3, pp. 247-258, December 2002.
2. S. S. Rao, Reliability-Based Design, 1st ed., New York: McGraw-Hill Inc., 1992.
3. R. Gulati, Maintenance and Reliability Best Practices, 2nd ed., New York: Industrial Press Inc., 2012.
4. Y. Li, S. Peng, Y. Li, and W. Jiang, “A Review of Condition-Based Maintenance: Its Prognostic and Operational Aspects,” Frontiers of Engineering Management, vol. 7, no. 5, pp. 323-334, July 2020.
5. J. H. Shin and H. B. Jun, “On Condition Based Maintenance Policy,” Journal of Computational Design and Engineering, vol. 2, no. 2, pp. 119-127, January 2015.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献