Machine Health Monitoring System

  • Unique Paper ID: 179452
  • PageNo: 6875-6876
  • Abstract:
  • The Machine Health Monitoring System (MHMS) aims to enhance the performance and longevity of industrial machines by providing real-time monitoring and diagnostics. This system utilizes piezoelectric sensors to monitor vibration signals, which are critical indicators of machine health. By implementing this system, industries can significantly reduce maintenance costs, prevent sudden machine breakdowns, and improve operational safety and efficiency. The integration of Internet of Things (IoT) technologies further enhances the capabilities of the MHMS, allowing for remote monitoring and data analysis.

Copyright & License

Copyright © 2026 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{179452,
        author = {Mohan Navbade and Prajwal Kale and Shriyash Jadhav and Tushar Khurale},
        title = {Machine Health Monitoring System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {6875-6876},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179452},
        abstract = {The Machine Health Monitoring System (MHMS) aims to enhance the performance and longevity of industrial machines by providing real-time monitoring and diagnostics. This system utilizes piezoelectric sensors to monitor vibration signals, which are critical indicators of machine health. By implementing this system, industries can significantly reduce maintenance costs, prevent sudden machine breakdowns, and improve operational safety and efficiency. The integration of Internet of Things (IoT) technologies further enhances the capabilities of the MHMS, allowing for remote monitoring and data analysis.},
        keywords = {Machine Health Monitoring, Piezoelectric Sensor, Vibration Detection, Predictive Maintenance, IoT.},
        month = {May},
        }

Cite This Article

Navbade, M., & Kale, P., & Jadhav, S., & Khurale, T. (2025). Machine Health Monitoring System. International Journal of Innovative Research in Technology (IJIRT), 11(12), 6875–6876.

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