International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 02 | Feb 2025
p-ISSN: 2395-0072
www.irjet.net
Real Time Monitoring and Visualization of Motor Parameter for Its Health Management System Dr.S.Parthasarathy 1, R.Thangasankaran2, T.J.A.Saravana Kumar3, S.Santhosh 4, E.H.VishnuKumar5 1 Prof/EEE, Department of Electrical & Electronics Engineering, K.L.N. College of Engineering,
Tamil Nadu, India
2Assistant Professor/EEE, Department of Electrical & Electronics Engineering, K.L.N. College of Engineering,
Tamil Nadu, India
3,4,5 UG Scholar, Department of Electrical & Electronics Engineering, K.L.N. College of Engineering,
Tamil Nadu, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - In an effort to improve dependability and
Parameter Health Management. In order to provide a multifaceted picture of motor health, the system uses sensors to monitor electrical properties, temperature, speed, and vibration. The system allows precise tracking of motor performance by computing important performance parameters like power loss, output power, and efficiency and adjusting in real-time for temperature-induced resistance fluctuations .
productivity in industrial environments, this research proposes a real-time monitoring and visualization system for motor health management. The system gives a thorough picture of motor performance by continuously monitoring critical motor characteristics like vibration, temperature, speed, and electrical metrics. To increase accuracy, key metrics such as power loss, output power, and efficiency are computed with corrections for temperature- induced resistance variations. Consistent tracking and analysis are made possible by the regular logging of data and its storage in an Excel sheet. By visualizing patterns in parameters, automated graphs let operators understand motor status and decide on preventative maintenance. In order to minimize unplanned downtime and promote predictive maintenance, our system provides realtime insights into motor behavior analysis. Early findings show improved monitoring capabilities that provide cost savings and increased operational efficiency. This method offers a workable and effective way to control motor health, which enhances industrial performance
Data is recorded at regular intervals, stored in an Excel sheet, and visualized in real time through automated graphs, allowing for immediate insights into motor behavior. This approach supports predictive maintenance, enabling operators to identify potential faults early and make proactive decisions. The system offers an efficient, costeffective solution to motor health management, promoting enhanced operational reliability and minimizing unexpected downtime.
2. METODOLOGY This paper provides a real-time motor monitoring and visualization system uses a multi- sensor technique to continuously track important data and evaluate the health of the motors. To measure important motor characteristics, the system has a number of sensors.
Key Words: Industrial efficiency, predictive maintenance, performance visualization, real-time motor monitoring, and motor health management
1.INTRODUCTION
These include a PZEM-004T module for electrical parameters (voltage, current, power, power factor, and frequency), a non-contact MLX90614 infrared temperature sensor for motor surface temperature, a Hall Proximity Switch sensor for rotational speed (RPM), and a 3-axis accelerometer for vibration recording in three different directions.
Motor health has a direct impact on system efficiency, dependability, and operating costs in industrial systems, where they are essential to operations. Unexpected motor failures can result in a large amount of downtime and expensive repairs, which emphasizes how crucial ongoing monitoring is to preserving peak performance. The use of reactive maintenance techniques and sporadic inspections, which may miss small flaws or slow changes that could cause bigger problems, is a common limitation of traditional motor monitoring systems.
Data is processed and stored in an Excel sheet at oneminute intervals when each sensor sends data via GPIO connections to a central processing unit. The technology uses real-time temperature data to dynamically calculate resistance in order to improve the analysis. In order to accurately calculate power loss using I 2
The objective to continually monitor and visualize important motor parameters, this project introduces a RealTime Monitoring and Visualization System for Motor
© 2025, IRJET
|
Impact Factor value: 8.315
|
ISO 9001:2008 Certified Journal
|
Page 572