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Quantum-behaved particle swarm optimization algorithm for the reconstruction of fiber Bragg grating sensor strain profiles
Authors:Hongbo Zou  Dakai Liang  Jie Zeng  Lihang Feng
Institution:1. State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, PR China;2. College of Electric Engineering and Renewable Energy, Three Gorges University, Yichang 443002, PR China;1. Department of Physics, Digamber Jain (P.G.) College, Baraut 250611, India;2. Department of Physics, Govt. College of Engineering & Technology, Bikaner 334004, India;3. AITTM, Amity University, Noida, India;4. Nanophysics Laboratory, Department of Physics, Govt. Dungar College, Bikaner 334001, India;1. College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China;2. School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China;3. School of Engineering, Anhui Agricultural University, Hefei 230036, China;4. Suzhou Anderson Co. Ltd, Suzhou 215000, China;1. College of Science, Chongqing University of Technology, Chongqing, 400054, China;2. Chongqing Key Laboratory of Green Energy Materials Technology and Systems, Chongqing, 400054, China
Abstract:A quantum-behaved particle swarm optimization algorithm used for demodulating the strain profile along a fiber Bragg grating (FBG) from its reflection spectrum has been demonstrated. By combining the transfer matrix method for calculating the reflection spectrum of a FBG and the quantum-behaved particle swarm optimization technique, we develop a new technique for the reconstruction of FBG sensor strain profiles. This proposed technique is verified through numerical example reconstructions of FBG sensor simulated strain profile cases and numerical simulations reveal good agreement between the original and the reconstructed strain profiles.
Keywords:
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