Study on spatial resolution improvement of distributed temperature sensor system by linear fitting algorithm

Miao Sun; Yuquan Tang; Jun Li; Shuang Yang; Fengzhong Dong

doi:10.1117/12.2197008

8 October 2015 Study on spatial resolution improvement of distributed temperature sensor system by linear fitting algorithm

Miao Sun, Yuquan Tang, Jun Li, Shuang Yang, Fengzhong Dong

Author Affiliations +

Proceedings Volume 9679, AOPC 2015: Optical Fiber Sensors and Applications; 967904 (2015) https://doi.org/10.1117/12.2197008
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

Abstract

Spatial resolution determines the minimum space unit that a distributed temperature sensor system can distinguish along the fiber thus it is an important parameter to evaluate the performance of the distributed temperature sensor system. A typical distributed temperature sensor system with a spatial resolution of 5m is built and an algorithm of linear fitting correction is proposed to realize temperature measurement of fiber length shorter than 5m accurately. With the method of linear fitting correction, the spatial resolution of the distributed temperature sensor system has been improved from 5m to 1m. The measured temperature of the DTS system is well calibrated by using linear fitting correction algorithm with a fiber length of 4m, 3m, 2m and 1m respectively. The maximum error of the corrective temperature is 2℃ for long term measurement.

Citation Download Citation

Miao Sun, Yuquan Tang, Jun Li, Shuang Yang, and Fengzhong Dong "Study on spatial resolution improvement of distributed temperature sensor system by linear fitting algorithm", Proc. SPIE 9679, AOPC 2015: Optical Fiber Sensors and Applications, 967904 (8 October 2015); https://doi.org/10.1117/12.2197008

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