Multipeak Wavelength Detection of Spectrally Overlapped Fiber Bragg Grating Sensors Through a CNN-Based Autoencoder
Gabriel Rudloff,
Marcelo A. Soto
Abstract:This paper presents a machine learning solution to identify the peak wavelengths of fiber Bragg grating (FBG) sensors multiplexed in a network with high spectral overlapping. Machine learning solutions generally require high-quality, extensive datasets, which can be difficult to obtain. In contrast, the proposed model corresponds to a convolutional neural network autoencoder that can be trained in an unsupervised manner using only FBG spectrum data, without the need for information about the spectral positions… Show more
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