Optimizing Wireless Data Transfer of Railway Traction Systems by Defining Conditions

Because of the high availability and reliability requirements of the railway traction systems, online data acquisition and analysis is very crucial. In order to provide uninterrupted passenger operation, data collected from the traction systems should be recorded and transmitted periodically to the maintenance engineer. Data size increases considerably due to the high number of data recorded at high frequency and this leads to a problem of long transmission time and excess uncategorized data. In this paper, we propose a method for optimizing wireless data transfer of railway traction systems by defining conditions such as warnings, errors and events. Using automated real time data analysis, these predefined conditions are checked and if there is a match, only data packets between pre & post trigger times will be transmitted. Thus, data packet is limited and only categorized data is transferred. Also, thanks to the bidirectional data transfer, conditions can be updated at any desired time.