Abstract
The Railway Track Fault Detection and Automation System (RTFDAS) represents a significant leap forward in the realm of railway infrastructure maintenance and management. Traditional methods of track inspection often suffer from limitations such as manual labor, periodic assessments, and the potential for human error, leading to safety hazards and operational disruptions. In response, the RTFDAS leverages cutting-edge technology, sophisticated algorithms, and automation capabilities to enable proactive fault detection and streamlined maintenance processes. This paper presents a comprehensive overview of the RTFDAS, highlighting its key components, functionalities, and benefits. The system comprises a network of sensors strategically deployed along railway tracks to capture data on various parameters. Through advanced data processing and analysis, fault detection algorithms identify anomalies indicative of track faults, such as cracks, misalignments, and wear, enabling prompt intervention and maintenance. Key Words: railway track, automation, fault detection
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