IoT-Based Intelligent Fault Detection System for Wall-Embedded Cables

Abstract

Electrical faults in wall-embedded cables pose risks such as short circuits, overheating, and fire hazards. Traditional fault detection methods rely on manual inspection and are inefficient. This paper proposes an IoT-based Intelligent Fault Detection System that monitors electrical parameters in real time using voltage, current, temperature, and insulation-resistance sensors. A microcontroller processes sensor data and detects anomalies, sending alerts through IoT cloud platforms. The system enhances electrical safety, minimizes maintenance costs, and provides faster and more accurate fault localization.