Automatic Rail Track Surface Anomaly Detection with Smartphone Based Monitoring System

摘要：

　　Railroad companies spend a significant portion of their revenue on track inspections to maintain safety and maximize operational efficiency.Deviations from the designed track geometry over time could lead to poor ride quality and possible derailments.The existing approaches to track inspections are expensive and laborious.The use of low-cost sensors aboard revenue service trains to screen the infrastructure for track irregularities could improve the cost-efficiency of track inspections by targeting the available resources to high-risk locations.Unevenness of rail track running surfaces cause dynamic forces generated at the wheel/rail contacts which in return results the vibration of the car.This study focuses on detecting track unevenness by associating its influence on vibration with it.A comparative analysis is carried out on unevenness response prediction and the accuracy of detecting such track surface unevenness is analyzed with the ground truth location collected by the railroad track inspectors.The main finding of the study were 1)the unevenness event estimation error are within 15 matters with one run for one phone based system and 2)the three-phone based track surface anomaly detection system can improve its forecasting accuracy to 5 meters and to 3 meters with two traversals.

关键词： Accelerometer Autonomous condition monitoring Gyroscope GPS

作者: Leonard CHIA Pan LU Bhavana BHARDWAJ Raj BRIDGELALL Denver TOLLIVER Neeraj DHINGRA

作者单位: Department of Transportation,Logistics and Finance,North Dakota State University,USA Department of Computer Science,North Dakota State University,USA Upper Great Plains Transportation Institute,North Dakota State University,USA

会议类型: 国际会议

会议名称: 2019 International Conference on Informatics, Control and Robotics 2019信息学、控制和机器人学国际会议(ICICR2019)

会议地点: 上海

会议语种:英文

页码: 168-172

在线出版日期: 2019-06-16（万方平台首次上网日期，不代表论文的发表时间）