Sensitivity identification of low-frequency cantilever fibre bragg grating accelerometer using cascade-forward backpropagation neural network

• Main Authors: Khalid, N. S., Rahim, M. R., Hassan, M. F.
• Format: Article
• Language: English
• Published: Universiti Malaysia Pahang 2022
• Subjects: TJ Mechanical engineering and machinery; TL Motor vehicles. Aeronautics. Astronautics
• Online Access: http://umpir.ump.edu.my/id/eprint/34159/1/Sensitivity%20identification%20of%20low%20frequency%20cantilever%20fibre.pdf; http://umpir.ump.edu.my/id/eprint/34159/; https://doi.org/10.15282/ijame.19.1.2022.06.0725; https://doi.org/10.15282/ijame.19.1.2022.06.0725

The frequency-dependent issues and instrumentation requirement for FBG sensors necessitate the identification of the sensitivity of the cantilever FBG accelerometer using machine learning. As result, this article presents a cascade-forward backpropagation (CFB) neural network with an orthogonally-ph...