Identification of the catenary structure wavelength using pantograph head acceleration measurements

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

8 Citations (Scopus)
51 Downloads (Pure)

Abstract

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 frequency components, namely the catenary structure wavelength (CSW) is studied. Based on insitu measurements and feature analysis of the pan-head acceleration signal, an adaptive signal filtering approach is proposed to realize the identification of the CSWs. Preliminary results suggest that the CSWs contained in the pan-head acceleration can be reliably identified by the proposed filtering approach.

Original languageEnglish
Title of host publicationI2MTC 2017 - 2017 IEEE International Instrumentation and Measurement Technology Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)978-1-5090-3596-0
DOIs
Publication statusPublished - 5 Jul 2017
Event2017 IEEE International Instrumentation and Measurement Technology Conference - Torino, Italy
Duration: 22 May 201725 May 2017
http://2017.imtc.ieee-ims.org/

Conference

Conference2017 IEEE International Instrumentation and Measurement Technology Conference
Abbreviated titleI2MTC 2017
Country/TerritoryItaly
CityTorino
Period22/05/1725/05/17
Internet address

Bibliographical note

Accepted Author Manuscript

Keywords

  • Adaptive signal filtering
  • Catenary health condition monitoring
  • Catenary structure wavelength
  • Identification
  • In-situ measurements
  • Pantograph head acceleration

Fingerprint

Dive into the research topics of 'Identification of the catenary structure wavelength using pantograph head acceleration measurements'. Together they form a unique fingerprint.

Cite this