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Liu, W. (author), Liu, Zhigang (author), Nunez Vicencio, Alfredo (author), Wang, Liyou (author), Liu, Kai (author), Lyu, Yang (author), Wang, H. (author)
The goal of this paper is to evaluate from a multi-objective perspective the performance on the detection of catenary support components when using state-of-the-art deep convolutional neural networks (DCNNs). The detection of components is the first step towards a complete automatized monitoring system that will provide actual information about...
conference paper 2018
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Nunez Vicencio, Alfredo (author), Jamshidi, A. (author), Wang, H. (author), Hendriks, J.M. (author), Ramirez Fonseca, I. (author), Moraal, J. (author), Dollevoet, R.P.B.J. (author), Li, Z. (author)
In this paper, we propose a methodology based on signal processing and evolutionary multiobjective optimization to facilitate the maintenance decision making of infra-managers in regional railways. Using a train in operation (with passengers onboard), we capture the condition of the rails using Axle Box Acceleration measurements. Then, using...
conference paper 2018
document
Wang, H. (author), Liu, Zhigang (author), Nunez Vicencio, Alfredo (author), Dollevoet, R.P.B.J. (author)
For the condition monitoring of railway catenaries, the potential utilization of pantograph head (pan-head) vertical acceleration instead of pantograph-catenary contact force is discussed in this paper. In order to establish a baseline of the pan-head acceleration before it can be used for health condition monitoring, one of the essential...
conference paper 2017
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Wang, H. (author), Nunez Vicencio, Alfredo (author), Dollevoet, R.P.B.J. (author), Liu, Zhigang (author), Chen, Junwen (author)
This study proposes a Bayesian network (BN) dedicated for the intelligent condition monitoring of railway catenary systems. It combines five types of measurements related to catenary condition, namely the contact wire stagger, contact wire height, pantograph head displacement, pantograph head vertical acceleration and pantograph-catenary contact...
conference paper 2017
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