Axle counter for high-speed railway based on fibre Bragg grating sensor and algorithm optimization for peak searching

Yu Quan; Dawei He; Yongsheng Wang; Pengfei Wang

doi:10.1117/12.2068055

21 August 2014 Axle counter for high-speed railway based on fibre Bragg grating sensor and algorithm optimization for peak searching

Yu Quan, Dawei He, Yongsheng Wang, Pengfei Wang

Author Affiliations +

Proceedings Volume 9285, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Smart Structures and Materials for Manufacturing and Testing; 92850D (2014) https://doi.org/10.1117/12.2068055
Event: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2014), 2014, Harbin, China

Abstract

For the benefit of electrical isolation, corrosion resistance and quasi-distributed detecting, Fiber Bragg Grating Sensor has been studied for high-speed railway application progressively. Existing Axle counter system based on fiber Bragg grating sensor isn’t appropriate for high-speed railway for the shortcoming of emplacement of fiber Bragg grating sensor, low Sampling rate and un-optimized algorithm for peak searching. We propose a new design for the Axle counter of high-speed railway based on high-speed fiber Bragg grating demodulating system. We also optimized algorithm for peak searching by synthesizing the three sensor data, bringing forward the time axle, Gaussian fitting and Finite Element Analysis. The feasibility was verified by field experiment.

Citation Download Citation

Yu Quan, Dawei He, Yongsheng Wang, and Pengfei Wang "Axle counter for high-speed railway based on fibre Bragg grating sensor and algorithm optimization for peak searching", Proc. SPIE 9285, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Smart Structures and Materials for Manufacturing and Testing, 92850D (21 August 2014); https://doi.org/10.1117/12.2068055

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available