Railway Track Fault Monitoring System using Signal Processing Techniques

Volume 6 Issue 3 July - September 2018

Research Paper

Railway Track Fault Monitoring System using Signal Processing Techniques

B. Sridhar*, B. Sharmila Devi**, A. Lavanya***, B. Ghana Prasuna****, G. Prudhvi Raj*****

* Professor, Department of Electronics and Communication Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, Andhra Pradesh, India.

**-***** UG Students, Department of Electronics and Communication Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, Andhra Pradesh, India.

Sridhar, B., Devi, B. S., Lavanya, A., Prasuna, B. G., Raj, G, P. (2018). Railway Track Fault Monitoring System using Signal Processing Techniques, i-manager's Journal on Digital Signal Processing, 6(3), 24-32. https://doi.org/10.26634/jdp.6.3.15423

Abstract

This paper presents railway track fault monitoring approach using signal processing techniques operator-based on signal separation. The measured vibration signal is first pre-processed using the Kalman filtering to filter the noise imposed on the signal. A specific band of frequency is identified using Finite Impulse Response (FIR) filter then an operator-based signal separation approach, called null space pursuit (NSP), is applied to decomposing the signal into a series of subcomponents and residues in accordance with their characteristics. Subsequently, the selected subcomponent with the maximum kurtosis value is analyzed by the envelop spectrum to identified potential fault-related characteristic frequency components. Experimental studies from the signals observed from railway track during the motion of the train have verified the effectiveness of the present approach for railway track fault monitoring system.