Ensemble Classifiers and Feature-Based Methods for Structural Damage Assessment
Joint Authors
Babajanian Bisheh, Hossein
Ghodrati Amiri, Gholamreza
Darvishan, Ehsan
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-21
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
In this paper, a new structural damage detection framework is proposed based on vibration analysis and pattern recognition, which consists of two stages: (1) signal processing and feature extraction and (2) damage detection by combining the classification result.
In the first stage, discriminative features were extracted as a set of proposed descriptors related to the statistical moment of the spectrum and spectral shape properties using five competitive time-frequency techniques including fast S-transform, synchrosqueezed wavelet transform, empirical wavelet transform, wavelet transform, and short-time Fourier transform.
Then, forward feature selection was employed to remove the redundant information and select damage features from vibration signals.
By applying different classifiers, the capability of the feature sets for damage identification was investigated.
In the second stage, ensemble-based classifiers were used to improve the overall performance of damage detection based on individual classifiers and increase the number of detectable damages.
The proposed framework was verified by a suite of numerical and full-scale studies (a bridge health monitoring benchmark problem, IASC-ASCE SHM benchmark structure, and a cable-stayed bridge in China).
The results showed that the proposed framework was superior to the existing single classifier and could assess the damage with reduced false alarms.
American Psychological Association (APA)
Babajanian Bisheh, Hossein& Ghodrati Amiri, Gholamreza& Darvishan, Ehsan. 2020. Ensemble Classifiers and Feature-Based Methods for Structural Damage Assessment. Shock and Vibration،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1213647
Modern Language Association (MLA)
Babajanian Bisheh, Hossein…[et al.]. Ensemble Classifiers and Feature-Based Methods for Structural Damage Assessment. Shock and Vibration No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1213647
American Medical Association (AMA)
Babajanian Bisheh, Hossein& Ghodrati Amiri, Gholamreza& Darvishan, Ehsan. Ensemble Classifiers and Feature-Based Methods for Structural Damage Assessment. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1213647
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1213647