Fault Detection and Health Monitoring in Induction Motor
Abstract & Details
Research Area
Electrical Engineering
Keywords
Induction Motor
Induction Motor Faults
Health Monitoring
Identification and Detecting Techniques
Abstract
Nowadays, induction motor has become the most popular type of motor in industrial application. Induction motor
especially three-phase induction motor plays a vital role in the industry due to their advantages such as self-starting, low-cost, high-power factor, high reliability, and high efficiency. If any faults and failures occur in the motor it can lead to excessive downtime and generate great losses in terms of revenue and maintenance. To identify motor faults, sophisticated techniques are required for quick fault detection and isolation. The real-time health monitoring technique for induction motor using Arduino has been proposed. The parameters of induction motor such as voltage, current, temperature, humidity, vibration can be monitored because faults in these parameters
cause severe damage to the motor and also cause a problem for the application that use the induction motor.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Rukaiya Mulani | Nanasaheb Mahadik College of Engineering, Peth. |
| 2 | Priyanka Mali | Nanasaheb Mahadik College of Engineering, Peth. |
| 3 | Trupti Walvekar | Nanasaheb Mahadik College of Engineering, Peth. |
| 4 | Abhishek Kumbhar | Nanasaheb Mahadik College of Engineering, Peth. |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Mulani, Rukaiya, Mali, Priyanka, Walvekar, Trupti, & Kumbhar, Abhishek (2022). Fault Detection and Health Monitoring in Induction Motor. International Journal of Advance Research and Innovative Ideas In Education, 8(1), 315-319.
MLA Style
Mulani, Rukaiya, et al. "Fault Detection and Health Monitoring in Induction Motor." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 1, 2022, pp. 315-319.
IEEE Style
Rukaiya Mulani, Priyanka Mali, Trupti Walvekar, and Abhishek Kumbhar, "Fault Detection and Health Monitoring in Induction Motor," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 1, pp. 315-319, 2022.
Vancouver Style
Mulani Rukaiya, Mali Priyanka, Walvekar Trupti, Kumbhar Abhishek. Fault Detection and Health Monitoring in Induction Motor. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(1):315-319.
Harvard Style
Mulani, Rukaiya, Mali, Priyanka, Walvekar, Trupti, & Kumbhar, Abhishek (2022) 'Fault Detection and Health Monitoring in Induction Motor', International Journal of Advance Research and Innovative Ideas In Education, 8(1), pp. 315-319.
Chicago Style
Mulani, Rukaiya, et al. "Fault Detection and Health Monitoring in Induction Motor." International Journal of Advance Research and Innovative Ideas In Education 8, no. 1 (2022): 315-319.
Turabian Style
Mulani, Rukaiya, et al. "Fault Detection and Health Monitoring in Induction Motor." International Journal of Advance Research and Innovative Ideas In Education 8, no. 1 (2022): 315-319.
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