Uncertainties consideration in empirical frequency response function data for damage identification based on artificial neural network

• Main Authors: Padil, K. H., Bakhary, N., Hassan, W. N. F., Darus, N.
• Format: Article
• Language: English
• Published: Penerbit UTHM 2021
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/96562/1/KhairulHPadil2021_UncertaintiesConsiderationinEmpiricalFrequency.pdf; http://eprints.utm.my/id/eprint/96562/; http://dx.doi.org/10.30880/ijie.2021.13.03.025

The modern application of frequency response function (FRF) with artificial neural networks (ANN) has become one of the leading methods in vibration-based damage detection approach. However, since full-size empirically obtained FRF data is used as ANN input, a broad composition ANN input layer serie...