Abstract: Leakage and short circuit currents are common problems that can occur in electrical networks, including those found in household applications. These issues can lead to energy waste, leading to downtime in industries, damage to equipment, and even pose a risk of electrical shock or fire. Therefore, it is essential to identify and localize these issues in order to resolve them quickly and prevent further damage or hazards. RCD (Residual Current Device) and RCBO (Residual Current Circuit Breaker with Overcurrent Protection) are commonly used as safety devices to protect against leakage current and short circuit in electrical systems. However, these devices have limitations in their applications. This paper discusses the challenges associated with the diagnosis and prevention of leakage currents majorly and also short-circuit currents in electrical networks. Additionally, the survey paper explores prevention techniques using IoT (Internet of Things) and machine learning techniques to overcome these limitations.
Keywords: Leakage Current, RCD, RCBO, Micro-controller, IoT, Machine Learning.
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DOI:
10.17148/IJARCCE.2023.12371
