Neuro-Fuzzy Fault Detection and Diagnosis for Railway Track Circuits

: Railway track circuits are used throughout the world as a basic component in safety critical signalling systems to detect the presence of trains. One way to ensure that railways operate with ever increasing levels of availability, reliability, and safety is through the use of intelligent condition monitoring systems to support maintenance activities. This paper presents the results of research on fault detection and diagnosis methods for railway track circuits. The proposed method uses a hybrid quantitative/qualitative technique, known as a neuro-fuzzy system. It is shown that the proposed method has the potential to detect and diagnose the most commonly occurring track circuit failures.