Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: Special Issue 1, Pages: 1-6
Khurram Shaikh*, Imtiaz Hussain Kalwar, Bhawani Shankar Chowdhry, Kamran Kazi and Burhan Aslam Arain
Department of Electronic Engineering, MUET, Jamshoro; [email protected]
*Author for correspondence
Department of Electronic Engineering
Email: [email protected]
This paper presents a signal based predictive maintenance strategy for high speed railway vehicle having solid axle wheelsets. Several railway operators still rely on manual inspection of rolling stock, which is costly and inaccurate. In this research work an accurate and cost effective method is proposed to monitor the condition of the wheelset of in service vehicles. In proposed method inertial sensors are used to measure the lateral and yaw dynamics of the wheelset. The condition of the wheelset is then predicted indirectly by exploiting the measured dynamic response. To show the effectiveness of the proposed method a simulation model of the proposed scheme is developed in Matlab/Simulink. The simulation results affirm the proposed idea.
Keywords: Predictive Maintenance, Railway Vehicle, Wheelset
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