A Data-Driven Approach for Linear and Nonlinear Damage Detection Using Variational Mode Decomposition and GARCH Model

by   Vahid Reza Gharehbaghi, et al.

In this article, an original data-driven approach is proposed to detect both linear and nonlinear damage in structures using output-only responses. The method deploys variational mode decomposition (VMD) and a generalised autoregressive conditional heteroscedasticity (GARCH) model for signal processing and feature extraction. To this end, VMD decomposes the response signals into intrinsic mode functions (IMFs). Afterwards, the GARCH model is utilised to represent the statistics of IMFs. The model coefficients of IMFs construct the primary feature vector. Kernel-based principal component analysis (PCA) and linear discriminant analysis (LDA) are utilised to reduce the redundancy of the primary features by mapping them to the new feature space. The informative features are then fed separately into three supervised classifiers, namely support vector machine (SVM), k-nearest neighbour (kNN), and fine tree. The performance of the proposed method is evaluated on two experimentally scaled models in terms of linear and nonlinear damage assessment. Kurtosis and ARCH tests proved the compatibility of the GARCH model.



There are no comments yet.


page 7

page 9

page 10

page 12

page 13

page 14

page 22

page 26


An Efficient Epileptic Seizure Detection Technique using Discrete Wavelet Transform and Machine Learning Classifiers

This paper presents an epilepsy detection method based on discrete wavel...

Palm Vein Identification based on hybrid features selection model

Palm vein identification (PVI) is a modern biometric security technique ...

On the effectiveness of signal decomposition, feature extraction and selection on lung sound classification

Lung sounds refer to the sound generated by air moving through the respi...

Brain tumor MRI image classification with feature selection and extraction using linear discriminant analysis

Feature extraction is a method of capturing visual content of an image. ...

Robust Head Pose Estimation Using Contourlet Transform

Estimating pose of the head is an important preprocessing step in many p...

Data-driven extrapolation via feature augmentation based on variably scaled thin plate splines

The data driven extrapolation requires the definition of a functional mo...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.