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@article{168727,
        author = {Miss Aishwarya Vijayrao Ingle and Prof. Dr. P. V. Mulik and Prof. Dr. M. R. Jadhav and Prof. Dr. P. J. Patil and Prof. G. S. Kambale},
        title = {Bearing Vibration Analysis For Optimum Performance By Condition Monitoring Techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {2579-2584},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168727},
        abstract = {Rapid modernization and the increasing need for high yielding productivity have led to      finer development and use of hi-tech and complex machines and equipment’s. Therefore, high-cost capital is involved in the production shop floor and the occurrence of incipient and frequent failures may result in production downtime and huge losses for the enterprise. So, controlled and appropriate maintenance activities are required which will minimize the occurrence of such failures and increase the reliability of the factory assets through effective plant maintenance practices. Condition based maintenance (CBM) or Predictive maintenance (Pd) can be best described as maintenance practiced when need arises (Morales, 2002). This is done by monitoring the condition of the machine (or equipment) continuously or periodically depending upon the need for the availability of the machine. The maintenance is initiated when indicators show the sign of faults in the incipient stages. In simple words, the main criterion is to maintain the right equipment at the right time. The practice of CBM is done by acquiring and analyzing the real time data, so that maintenance activities and resources can be prioritized/ optimized accordingly.},
        keywords = {CBM, Bearing Vibration, Predictive maintenance},
        month = {December},
        }