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@article{203294,
        author = {Sharvin Chaudhari and Shubham Dake and Viren Dalvi and Dipti Pandit},
        title = {Performance Evaluation of an IoT-Enabled Multi-Parameter Machine Health Monitoring System for Predictive Maintenance},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {10299-10303},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=203294},
        abstract = {Mechanical and electrical forces of industrial equipments are constantly on the brink hence an early fault notification is required so that the equipments do not fail suddenly and the cost of maintaining the equipments is also low. In this paper, a multi-parameter machine health monitoring system on top of the IoT and ESP32 will be developed and inferred. The proposed system is architected on Vibration, temperature, acoustic noise, rotational speed (RPM) and current sensing. Sensor-data are then recorded at the edge layer, and transmitted through a Wi-Fi connection to a Flask based server. Failure classification will be by the threshold and will be logged into a SQLite database where it can be analyzed on a historical basis by the backend. The trends and status of the system are provided in three categories as OK, WARN, and FAULT in real-time using a web-based dashboard. It is operating on low priced hardware, modular design and programmable thresholds to suit an extensive variety of industrial machinery. There is experimental validation that a high level of reliability of communication, the stability of the data recording and classification of conditions correctly existed in the controlled test conditions. The proposed solution provides the economical and scalable solution to the small and medium-scale industries with regards to predictive maintenance.},
        keywords = {IoT, Predictive Maintenance, Machine Health Monitoring, ESP32, Vibration Analysis, Condition Monitoring.},
        month = {May},
        }