A system review on fault detection in IOT enabled system

Fault detection in Internet of Things (IoT) enabled systems plays a significant role in maintaining stable operation of electrical and environmental monitoring applications. In existing models, traditional monitoring methods depend on manual observation or isolated measuring instruments, which can lead to delays in identifying faults and limited system integration. These methods do not provide continuous tracking or centralized data handling, making them less suitable for modern smart systems.

The proposed prototype presents an IoT-enabled fault detection system that integrates multiple sensors and embedded platforms for continuous monitoring of system parameters. An Arduino microcontroller is used to control and interface sensors such as the DHT11 sensor for measuring temperature and humidity, a current sensor for observing current variations, and a voltage sensor for tracking voltage levels. The system uses 100W and 200W bulbs as load elements to study electrical behavior under different conditions. An LCD module is included to display sensor status and readings locally. In addition, a NodeMCU module is used to upload the collected data to an IoT platform for remote access and monitoring. By examining variations in sensor readings, the system identifies abnormal conditions such as overload, voltage fluctuations, or environmental changes. This prototype demonstrates an effective approach for fault detection in IoT-enabled systems, supporting improved monitoring, system awareness, and better operational control.