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
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
