
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 3
May-June 2025
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Automatic Fault Detection in Electrical Systems Based on Voltage and Current Analysis
Author(s) | Ms. Nayna Laxman Sapkal |
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Country | India |
Abstract | This paper presents an automatic fault detection system for electrical circuits, focusing on real-time monitoring of voltage and current parameters. The proposed method utilizes advanced signal processing techniques, machine learning algorithms, and intelligent fault detection systems to identify and classify faults in electrical systems. The system is designed to offer rapid fault diagnosis, enabling prompt corrective actions, thereby improving the reliability and efficiency of electrical systems. Experimental results demonstrate the efficacy of the system in detecting various fault conditions, including overloads, short circuits, and ground faults. This paper aims to contribute to the ongoing efforts to enhance the safety and performance of electrical networks through automated fault detection mechanisms. |
Keywords | , |
Field | Engineering |
Published In | Volume 7, Issue 3, May-June 2025 |
Published On | 2025-06-23 |
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E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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