Hard-point detection of catenary based on Hidden Markov Model

Issue title: Selected papers from the International Symposium on Applied Electromagnetics and Mechanics - ISEM 2019

Guest editors: Jinhao Qiu, Ke Xiong and Hongli Ji

Article type: Research Article

Authors: Tian, Shuxia^{a; †;} | Zhang, Penghui^{a; †} | Huang, Liping^a | Song, Xueqian^a | Chen, Zhenmao^b | Liu, Jianxiu^a | He, Wenbin^a | Cao, Yang^a

Affiliations: [a] Henan Key Laboratory of Intelligent Manufacturing of Mechanical Equipment, Zhengzhou University of Light Industry, Zhengzhou, China | [b] State Key Laboratory for Strength and Vibration of Mechanical Structure, Xi’an Jiaotong University, Xi’an, China

Correspondence: [*] Corresponding author: Shuxia Tian, Mechanical and Electrical Engineering Institute, Zhengzhou University of Light Industry, No. 05, Dong Feng Road, Zhengzhou, Henan, China. E-mail: tiansx@zzuli.edu.cn

Note: [†] Main research direction: Nondestructive testing.

Abstract: Hard-point detection is an important content of catenary detection. In this paper, the pantograph-catenary coupling model was established firstly. Then the vertical acceleration of pantograph during operation was calculated by using three-dimensional modeling software and finite element analysis software. The acceleration signal mixed with white noise was filtered by global default threshold, and the hard-point detection feature signal was obtained. Finally, the Hidden Markov Model corresponding to each state of the hard-point was obtained by using the characteristic signal, which verified the feasibility of the Hidden Markov Model for hard-point detection.

Keywords: Hard-point, pantograph and catenary acceleration, white noise filtering, Hidden Markov Model (HMM)

DOI: 10.3233/JAE-209381

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 64, no. 1-4, pp. 701-709, 2020