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 language | English |
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Title of host publication | I2MTC 2017 - 2017 IEEE International Instrumentation and Measurement Technology Conference, Proceedings |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Number of pages | 6 |
ISBN (Electronic) | 978-1-5090-3596-0 |
DOIs | |
Publication status | Published - 5 Jul 2017 |
Event | 2017 IEEE International Instrumentation and Measurement Technology Conference - Torino, Italy Duration: 22 May 2017 → 25 May 2017 http://2017.imtc.ieee-ims.org/ |
Conference
Conference | 2017 IEEE International Instrumentation and Measurement Technology Conference |
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Abbreviated title | I2MTC 2017 |
Country/Territory | Italy |
City | Torino |
Period | 22/05/17 → 25/05/17 |
Internet address |
Bibliographical note
Accepted Author ManuscriptKeywords
- Adaptive signal filtering
- Catenary health condition monitoring
- Catenary structure wavelength
- Identification
- In-situ measurements
- Pantograph head acceleration