Identification and Localization of Track Circuit False Occupancy Failures Based on Frequency Domain Reflectometry

Area of Science:

• Electrical Engineering
• Railway Engineering
• Signal Processing

Background:

• Railway track circuit failures disrupt operations, causing delays and economic losses.
• Current maintenance processes require train traffic interruption, prolonging restoration times.
• Accurate and efficient fault detection is crucial for railway system reliability.

Purpose of the Study:

• To present a novel method for diagnosing and locating false occupancy failures in railway track circuits.
• To enhance the agility and efficiency of track circuit maintenance and restoration.
• To reduce the economic impact of railway operational disruptions.

Main Methods:

• Utilizing frequency domain reflectometry for fault diagnosis.
• Employing simulations with simplified track circuit models.
• Estimating fault position by identifying signal null points and using non-linear regression.
• Validating the method through field tests on a 1500m track circuit.

Main Results:

• The proposed frequency domain reflectometry method successfully diagnoses track circuit failures.
• Fault locations, specifically short circuits between rails, were estimated with high accuracy.
• Simulations demonstrated the method's operational principles.
• Field tests confirmed the practical applicability and accuracy of the technique.

Conclusions:

• The developed frequency domain reflectometry method offers an accurate solution for detecting and locating track circuit faults.
• This approach can significantly improve railway maintenance efficiency and reduce operational downtime.
• The findings support the integration of this technology for enhanced railway safety and reliability.