LEAKAGE CURRENT DETECTION SYSTEM
Viraj Koli1, Aditya Gandhi 2, Shivam Kore 3, Saurav Kumbhare 4, Prof. A. S. Jaibhai5
1Student, Electrical Department & BSCOER,Pune. 2Student, Electrical Department & BSCOER,Pune. 3Student, Electrical Department & BSCOER,Pune. 4Student, Electrical Department & BSCOER,Pune. 5Professor, Electrical Department & BSCOER,Pune.
---------------------------------------------------------------------***--------------------------------------------------------------------
Abstract –The "Leakage Current Detection System" project focuses on the development of an advanced and efficient system for detecting and monitoring leakage currents in electrical networks. Leakage currents can occur due to insulation breakdown, faulty equipment, or improper grounding, posing safety hazards and potential damage to electrical infrastructure. Therefore, the accurate and timely detection of these currents is crucial to ensure the reliability and safety of electrical systems.
The proposed Leakage Current Detection System employs a combination of sensing technologies, data analysis algorithms, and real-time monitoring capabilities to identify and analyze leakage currents. Specialized current sensors are strategically placed in critical points of the electrical network to capture and measure the flow of current. The acquired data is processed and analyzed using sophisticated algorithms that can distinguish between normal operating currents and abnormal leakage currents.
The system offers several key features that enhance its effectiveness. It provides continuous monitoring of the electrical network, enabling immediate detection of any abnormal current behavior. Alerts and notifications are generated in real-time, allowing for prompt response and necessary corrective actions. The system also includes data logging and historical analysis capabilities, facilitating the identification of recurring leakage patterns and assisting in predictive maintenance strategies.
Key Words: leakage current detection, electrical networks, safety, real-time monitoring, data analysis, predictive maintenance, electrical infrastructure, sensor technology, reliability, corrective actions.
