An integrated approach for structural damage identification using wavelet neuro-fuzzy model

作者：

Highlights：

• ·The structural response signal processing method identifies damage time and location.·Wavelet real-time filtering algorithm processes response signals with noise up to 30%.·ANFIS is trained with structural input–output signal data and used to model structural behavior.·Interval modeling technique is used to quantify structural system uncertainty with dominant uncertainty coordinate.·The damage identification accuracy is up to 0.05% under 10% noise.

摘要

Highlights·The structural response signal processing method identifies damage time and location.·Wavelet real-time filtering algorithm processes response signals with noise up to 30%.·ANFIS is trained with structural input–output signal data and used to model structural behavior.·Interval modeling technique is used to quantify structural system uncertainty with dominant uncertainty coordinate.·The damage identification accuracy is up to 0.05% under 10% noise.

论文关键词：Signal processing approach,Structural damage identification,Wavelet real-time filtering algorithm,Adaptive Neuro-Fuzzy Inference System,Interval modeling technique

论文评审过程：Available online 11 July 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.06.078