Title :
Weigh in Motion systems for railway vehicles: Performance and robustness analysis
Author :
Allotta, B. ; D´Adamio, P. ; Gaburri, G. ; Innocenti, A. ; Marini, L. ; Meli, E. ; Pugi, L.
Author_Institution :
Ind. Eng. Dept., Florence Univ., Florence, Italy
Abstract :
One of the most important issue in the railway research is represented by the accurate estimation of the axle loads of railway vehicles. Weigh in Motion (WIM) devices are designed to measure loads with the vehicle in motion, making the weighing process more efficient. This paper is focused on an innovative algorithm for high speed WIM applications able to estimate the wheel loads of trains by means of indirect track measurements. The novelty of the proposed estimation method are its generality, the possibility to be used with different layouts and its robustness against numerical and measure noise. The main estimation procedure is based on least square (LSQ) minimization techniques, used to process the set of experimental physical input. The whole WIM architecture has been developed in cooperation with Ansaldo STS and ECM SpA.
Keywords :
axles; minimisation; railways; vehicle dynamics; weighing; wheels; Ansaldo STS; ECM SpA; LSQ minimization techniques; WIM architecture; high speed WIM applications; indirect track measurements; innovative algorithm; least square minimization techniques; load measurement; measure noise; numerical noise; performance analysis; railway vehicles; robustness analysis; weigh in motion devices; weigh in motion systems; weighing process; wheel load estimation; Axles; Estimation; Mathematical model; Rail transportation; Rails; Vehicles; Wheels;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International
Conference_Location :
Pisa
DOI :
10.1109/I2MTC.2015.7151562
