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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67996
Volume:
10 |
10 |
Oct 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Electronics and telecommunication
JSPM'S Bhivrabai Sawant Polytechnic, Wagholi, Pune
Electronics and telecommunication
JSPM'S Bhivrabai Sawant Polytechnic, Wagholi, Pune
Electronics and telecommunication
JSPM'S Bhivrabai Sawant Polytechnic, Wagholi, Pune
Electronics and telecommunication
JSPM'S Bhivrabai Sawant Polytechnic, Wagholi, Pune
Electronics and telecommunication
JSPM'S Bhivrabai Sawant Polytechnic, Wagholi, Pune
Industrial machines may develop faults because of excessive vibration, abnormal temperature, or unexpected operating conditions. If these signs are not noticed early, machine breakdown can cause production delays, maintenance costs, and safety risks. This paper propose an Internet of Things (IOT)-based system for monitoring machine health and supporting predictive maintenance. An ESP32 microcontroller is planned as the main controller. Sensors such as vibration/motion sensor and a temperature sensor can collect operating data, which the ESP32 processes and sends to a mobile-friendly dashboard over Wi-Fi. The dashboard can display live readings and indicate abnormal conditions using configurable thresholds. The proposed system aims to provide an affordable learning prototype for small industrial machines. The prototype’s final performance must be verified through practical testing; this draft does not claim measured results that have not yet been collected.
KEYWORDS
The IoT-based industrial machine health monitoring and a predictive maintenance system enables real-time monitoring of machine vibration, temperature, current, and voltage. Using the ESP32 and IoT technology, sensor data can be displayed on a mobile dashboard. The system helps detect abnormal operating conditions, reduces unexpected machine failures, and support timely maintenance, it provides a cost-effective solution for improving industrial machine reliability and efficiency.
[1] “IOT-Based Industrial Equipment Monitoring System: Revolutionizing Maintenance through smart data analytics,” ResearchGate, Aug 2026. [2] “IOT-Based health monitoring and fault detection of industrial AC induction motor for efficient predictive maintenance,” ResearchGate paper, May 2026. [3] “IOT-Based Real-Time vibration and temperature monitoring system for industrial machinery using ESP32 and MQTT,”ResearchGate Research, 2026 [4] “IOT-Based predictive maintenance in industrial machinery,” ResearchGate, July 2025 [5] “AI-Driven Predictive Maintenance in Industrial IoTs: A Comprehensive Survey,” IEEE Internet of things Journal, vol. 13, Issue 10,2026.
Publication Date
10/15/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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