Railway track circuits is an important device of the train control system. Track circuits should realize the occupation detection of train on the track. However, failure of track circuit is unavoidable and disruptive, especially in the main lines in China. To realize the fault detection and diagnosis of track circuit, the paper proposed a hybrid method combining the model-based approach and the pattern recognition approach. The model-based approach is used to acquire the normal data and faulty data based on the multi-track model. The pattern recognition approach is used to extract fault features from the simulation data and build the fault diagnosis system. In the final, a test rig containing track circuit and condition monitoring system is built to carry out the fault diagnosis test. According to the test results, it shows that the proposed method can achieve the fault diagnosis accuracy up to 98% and fault diagnosis time within 15 s.
Adaptive Fault Diagnosis System for Railway Track Circuits
Lect. Notes Electrical Eng.
International Conference on Electrical and Information Technologies for Rail Transportation ; 2021 October 21, 2021 - October 23, 2021
Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021 ; Kapitel : 55 ; 491-498
2022-02-23
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Adaptive Fault Diagnosis System for Railway Track Circuits
TIBKAT | 2022
|Adaptive Fault Diagnosis System for Railway Track Circuits
British Library Conference Proceedings | 2022
|Fault detection and diagnosis for railway track circuits using neuro-fuzzy systems
Tema Archiv | 2008
|Availability analysis of railway track circuits
Online Contents | 2010
|Availability analysis of railway track circuits
SAGE Publications | 2010
|