Antonio Iele

ANTONIO IELE

University of Sannio
Italy

A novel fibre optic sensing system for weighing in motion and wheel flat detection

Overview

  • Recent efforts to implement a novel fibre optic sensing system for weighing in motion, wheel flat detection, and train tracking in railway assets
  • The capability of FBG sensors with regard to train tracking and counting axles
  • Main features of the developed system, with the results obtained in real scenarios

Abstract

The ever increasing demand for improved safety, security and efficiency is among the most important aspects of the modern railway industry worldwide. The needs of smart condition monitoring systems are imminent as indicated by the increase in railway accidents/incidences. Railway monitoring requires extensive multifunctional sensor networks for measuring strain, vibration, temperature, acceleration and many other parameters useful to assess functionality and efficiency of railways systems. In this context, here, we report our recent efforts to implement a novel fibre optic sensing system for weighing in motion, wheel flat detection, and train tracking in railway assets. This new industrial system (actually included in the product portfolio of Ansaldo STS) is based on the use of Fibre Bragg Grating (FBG) strain sensors suitably clamped to the railways tracks through suitable and certified metallic packages ensuring minimal impact on the track, no rail drilling, ease of installation, efficient maintenance and capability to operate in harsh environment. The strain sensors, through a judicious data processing, are able to provide important information about the wheels weight and their defective status in real time without requiring the interruption of the railways operability. A self-calibration procedure and the selection of the proper sensor package ensure the capability of the system to provide reliable data when operating in different scenarios. Many of these systems have been successfully installed and verified in Abu Dhabi and Napoli demonstrating a WIM and WFD accuracy less than 2%. In this work, we present the capability of FBG sensor regarding train tracking and axle counting, and the main features of the developed system, with the results obtained in real scenarios.

Biography

Antonio Iele received the B.S. and M.S. degree in Telecommunications Engineering from the University of Sannio, Italy. In 2013 he became a PhD doctor in Information Engineering, defending a thesis on the use of fibre optic sensors in railway safety applications as the control of unbalance along the wagons in normal operation and the wheel flat detection. All the research on PhD activities was done in collaboration with Ansaldo STS. Now he is a postdoctoral researcher and a technical engineer in the engineering department at University of Sannio.

 
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