A fiber optic refractive index sensor with extremely high dynamic range utilizing deep learning-speckle pattern imaging

Şerbetçi H., NAVRUZ İ., ARI F.

Ain Shams Engineering Journal, cilt.15, sa.12, 2024 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 15 Sayı: 12
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1016/j.asej.2024.103122
  • Dergi Adı: Ain Shams Engineering Journal
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, Directory of Open Access Journals
  • Anahtar Kelimeler: CNN, Deep learning, Optical fiber sensor, Refractive index, Speckle pattern, Tapered optical fiber
  • Ankara Üniversitesi Adresli: Evet

Özet

In this paper, a tapered optical fiber sensor with high precision measurement capability in a wide dynamic range has been proposed and experimentally demonstrated. Speckle pattern images obtained from the fiber end were trained with a convolutional neural network, and the measurement process was carried out through a deep learning algorithm. The sensing region of the optical fiber with a diameter of 125 µm used as the sensor was reduced to a waist diameter of 10 µm along a length of 2.25 cm. The sensor exhibits highly sensitive measurement capabilities with a resolution of up to 1.34x10-5 within the refractive index range of 1.3322–1.4214. By utilizing the deep learning-based sensor structure with real-time measurement capabilities, refractive index measurements can be made in many fields such as chemical, biosensor, space and aviation fields.