Mentari Putri Jati, Cheng-Kai Yao, Muhammad Irfan Luthfi, Yen-Chih Wu, Amare Mulatie Dehnaw, Peng-Chun Peng
A combination of optical fiber Bragg gratings (FBGs) and a tunable delay line interferometer (TDLI) is proposed for capturing vibration signals amidst inherent, undeniable noises. The proposed system leverages the adjustable free spectral range (FSR) of the TDLI to significantly enhance the sensitivity of FBG-based sensors, particularly for distinguishing extremely close superposition vibration frequencies in various frequency ranges. The tuning technique for FSR adjustment in FBG peak power modulation, designed to achieve accurate measurement signals with diminished noise when FBG wavelength shift occurs, is revealed. Incorporating free-space optics (FSOs) into the vibration-sensing framework further enhances system flexibility by facilitating wireless, high-speed vibration data transmission in scenarios where direct fiber connections are impractical, such as remote or dynamic environments. Moreover, the system embeds deep learning algorithms that enable high-accuracy recognition of vibration frequencies without the need for denoising techniques. The coalescences of FBG-TDLI and FSO technologies, integrated with deep learning techniques, create a highly precise, adaptable, and efficient vibration sensing system. The findings underscore this approach’s potential to redefine vibration-sensing applications in critical infrastructure, power plants, and industrial systems, offering a new paradigm for precision monitoring in challenging operational conditions. © 2001-2012 IEEE.
National Taipei University of Technology, Department of Electro-Optical Engineering, Taipei, 10608, Taiwan; Universitas Negeri Yogyakarta, Vocational Faculty, Department of Electrical and Electronics Engineering, Yogyakarta, 55281, Indonesia; Universitas Negeri Yogyakarta, Engineering Faculty, Department of Electronics and Informatics Engineering Education, Yogyakarta, 55281, Indonesia; Innovation Frontier Institute of Research for Science and Technology, National Taipei University of Technology, Taipei, 10608, Taiwan
