Our site saves small pieces of text information (cookies) on your device in order to deliver better content and for statistical purposes. You can disable the usage of cookies by changing the settings of your browser. By browsing our site without changing the browser settings you grant us permission to store that information on your device.
H. HAROON1,* , A. KAREEM1
This paper studied the feasibility of statistical approach to aid in the development of the fiber Bragg grating (FBG) temperature monitoring system using analysis of variance approach. Upon completion, the sensitivity of the sensor measured for DI water and palm oil is 0.00149 dBm/ ⁰C and 0.0273 dBm/ ⁰C, respectively. In terms of the wavelength shift, the sensitivity of 13.1 pm/ ⁰C and 25.29 pm/ ⁰C were achieved for DI water and palm oil, respectively. The coefficients of determination (R2) for temperature variations relationships were 0.986 for DI water and 0.9806 for palm oil. This study showed the great potential of statistical approach in predicting the sensor device performance..
Fiber-optic, Fiber-optic sensor, Fiber Bragg grating, Temperature measurement, Sensor applications.
H. HAROON, A. KAREEM, Statistical analysis on impact of temperature to fiber Bragg grating sensor performance, Optoelectronics and Advanced Materials - Rapid Communications, 13, 5-6, May-June 2019, pp.290-294 (2019).
Submitted at: Sept. 26, 2018
Accepted at: June 14, 2019
Optoelectronics and Advanced Materials - Rapid Communications
(2022): 0.5 - 2022 Journal Citation Reports (Clarivate Analytics, 2023)
Active accounts were imported to the new platform and assigned a random password by default. In order to access your account you need to access the login page and go through the Lost Password dialog (involves the system sending you an email with instructions) in order to reset your password. This step is necessary as passwords are kept in hashed form and the new platform uses modern hashing algorithms incompatible with the previous ones.