FAULT DETECTION AND ANALYSIS IN BEARING USING VIBRATIONS

  • Unique Paper ID: 165175
  • Volume: 11
  • Issue: 1
  • PageNo: 583-585
  • Abstract:
  • Over recent decades, predictive maintenance's usage attracted the attention of maintenance specialists in some important industries. Moreover, machinery condition monitoring is an effective indicator for planning maintenance schedules. Machine monitoring or early detection of incipient fault is an important judgment tool for the machine's health at critical parts such as; gears and bearings. Furthermore, the vibration monitoring process can be achieved by experienced operators using their visual inspection.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{165175,
        author = {Saurabh Magar and Yashraj Pandhare and Jitesh Sanghavi and Ganesh Lambate and Nishikant Patil},
        title = {FAULT DETECTION AND ANALYSIS IN BEARING USING VIBRATIONS },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {11},
        number = {1},
        pages = {583-585},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=165175},
        abstract = {Over recent decades, predictive maintenance's usage attracted the attention of maintenance specialists in some important industries. Moreover, machinery condition monitoring is an effective indicator for planning maintenance schedules. Machine monitoring or early detection of incipient fault is an important judgment tool for the machine's health at critical parts such as; gears and bearings. Furthermore, the vibration monitoring process can be achieved by experienced operators using their visual inspection.},
        keywords = {Industry 4.0, Predictive Maintenance, Bearing},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 1
  • PageNo: 583-585

FAULT DETECTION AND ANALYSIS IN BEARING USING VIBRATIONS

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