Research Article
Fiber Optic Sensor Array for Perfume Detection Using Neural Network
@INPROCEEDINGS{10.4108/eai.16-11-2019.2293244, author={Bakti Dwi Waluyo and Arwadi Sinuraya and Salman Bintang}, title={Fiber Optic Sensor Array for Perfume Detection Using Neural Network}, proceedings={Proceedings of the the 3rd Annual Conference of Engineering and Implementation on Vocational Education, ACEIVE 2019, 16 November 2019, Universitas Negeri Medan, North Sumatra, Indonesia}, publisher={EAI}, proceedings_a={ACEIVE}, year={2020}, month={3}, keywords={fiber optic sensor array polymer cladding neural network}, doi={10.4108/eai.16-11-2019.2293244} }- Bakti Dwi Waluyo
Arwadi Sinuraya
Salman Bintang
Year: 2020
Fiber Optic Sensor Array for Perfume Detection Using Neural Network
ACEIVE
EAI
DOI: 10.4108/eai.16-11-2019.2293244
Abstract
Optical fiber sensors with a polymer coating instead of the original layer have many advantages to be used as sensors. The advantages of fiber optic sensors are that they have the flexibility of the environment and are free of electromagnetic waves. The working principle of the optical fiber sensor is based on changes in the evanescent field in the boundary area of the core - cladding due to changes in the refractive index when interacting with perfume vapor. Fiber optic sensor testing is done by exposing perfume vapor and letting it interact. During the interaction with perfume vapors, the fiber optic sensor is given a light source from a blue light emitting diode with a wavelength of 450nm and as a light sensor is a photodiode that converts light intensity into changes in voltage. The voltage change data is then processed using the artificial neural network method to identify perfume. The experimental results show that the optical fiber sensor array with different polymer cladding and pattern recognition of artificial neural networks can identify perfume.