Searched for: subject:"Degradation"
(1 - 3 of 3)
Nunez Vicencio, A.A. (author), Jamshidi, A. (author), Wang, H. (author)
This paper presents a Pareto-based maintenance decision system for rail welds in a regional railway network. Weld health condition data are collected using a train in operation. A Hilbert spectrum-based approach is used for data processing to detect and assess the weld quality based on multiple registered dynamic responses in the axle box...
journal article 2018
Wei, Z. (author), Nunez Vicencio, A.A. (author), Li, Z. (author), Dollevoet, R.P.B.J. (author)
In this paper, we investigate the capability of an axle box acceleration (ABA) system to evaluate the degradation at railway crossings. For this purpose, information from multiple sensors, namely, ABA signals, 3D rail profiles, Global Positioning System (GPS) and tachometer recordings, was collected from both nominal and degraded crossings....
journal article 2017
Faghih Roohi, S. (author), Hajizadeh, S. (author), Nunez Vicencio, A.A. (author), Babuska, R. (author), De Schutter, B.H.K. (author)
In this paper, we propose a deep convolutional neural network solution to the analysis of image data for the detection of rail surface defects. The images are obtained from many hours of automated video recordings. This huge amount of data makes it impossible to manually inspect the images and detect rail surface defects. Therefore, automated...
conference paper 2016