Hilbert Transform Approach to Central Wavelength Detection for Fiber Bragg Grating Sensors

Yıl 2022, , 1099 - 1111, 01.10.2022

Zehra Saraç

https://doi.org/10.2339/politeknik.880207

Cited By: 1

Öz

The accuracy and sensitivity of Fiber Bragg Grating sensors depends on signal processing approaches that detect the wavelength of the centeral peak in the reflection spectra. In the studies carried out so far, there are various noise that seriously affect the system, arising from the electronic elements in their structure and the environment in which they operate. In addition, depending on the coherence length and intensity of the light sources used, the effects such as unwanted interference in the reflection spectrum create noise. Therefore, the reflection spectrum of the FBG sensor is noisy. In recent years, filtering techniques and curve fitting methods etc. have become increasingly important to reduce the effect of this noise. In this study, it is revealed the Hilbert transform approach enables the detection of the more accurate central wavelength of the FBG sensor. This approach is very practical. Because the Hilbert transform already acts as a filter, this approach does not require a filter design, decomposition levels, or any other complex process as in other methods. To demonstrate that the proposed approach improves the accuracy and measurement capability of the FBG temperature sensor, the Wavelet Denoising Approach presented in the literature so far and the results of the proposed approach are compared. As a result, it is concluded that the Hilbert transform approach definitely follows better the true central Bragg wavelength values and shows smaller a relative error.

Anahtar Kelimeler

Fiber Bragg Grating Sensor, Hilbert Transform Approach, Wavelet Denoising Approach, OptiSystem 17

Fiber Bragg Izgara Sensörü için Merkezi Dalga Boyu Algılamaya Hilbert Dönüşümü Yaklaşımı

Öz

Fiber Bragg Izgara sensörlerinin doğruluğu ve hassasiyeti, yansıma spektrumlarındaki merkezi tepenin dalga boyunu tespit eden işaret işleme yaklaşımlarına bağlıdır. Şu ana kadar yapılan çalışmalarda, bu tip sensörlerde yapılarındaki elektronik elemanlardan ve çalıştıkları çevreden dolayı ortaya çıkan, sistemi ciddi şekilde etkileyen çok çeşitli gürültüler vardır. Ayrıca kullanılan ışık kaynaklarının eş faz uzunluğuna ve şiddetine bağlı olarak özellikle yansıma spektrumunda istenmeyen girişim gibi etkiler gürültü oluşturmaktadır. Bundan dolayı FBG sensörünün yansıma spektrumu gürültülüdür. Son yıllarda bu gürültünün etkisini azaltmak için, filtreleme teknikleri ve eğri uydurma yöntemleri vb. giderek önem kazanmaktadır. Bu çalışma, Hilbert dönüşümü yaklaşımının FBG sensörünün daha hassas merkezi dalga boyunun tespitini sağladığı ortaya konmaktadır. Bu yaklaşım oldukça pratiktir. Hilbert dönüşümü zaten bir filtre görevi gördüğünden, bu yaklaşım bir filtre tasarımı, ayrıştırma seviyeleri (Decomposition Levels) veya diğer yöntemlerde olduğu gibi başka herhangi bir karmaşık işlem gerektirmez. Önerilen yaklaşımın FBG sıcaklık sensörünün doğruluğunu ve ölçüm kabiliyetini geliştirdiğini göstermek için şimdiye kadar literatürde sunulan Dalgacık Gürültü Giderme Yaklaşımı ve önerilen yaklaşımın sonuçları karşılaştırılır. Sonuç olarak Hilbert dönüşümü yaklaşımının kesinlikle gerçek merkezi Bragg dalga boyu değerlerini daha iyi takip ettiği ve daha küçük bağıl hata gösterdiği sonucuna varılmıştır.

Anahtar Kelimeler

Fiber Bragg Izgara Sıcaklık Sensörü, Hilbert Dönüşüm Yaklaşımı, Wavelet Gürültü Arındırma Yaklaşımı, OptiSystem 17

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