Ghent University Academic Bibliography

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A novel multi-classifier information fusion based on Dempster-Shafer theory : application to vibration-based fault detection

Vahid Yaghoubi Nasrabadi (UGent) , Liangliang Cheng (UGent) , Wim Van Paepegem (UGent) and Mathias Kersemans (UGent)

(2022) STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL. 21(2). p.596-612
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Broadband nonlinear elastic wave modulation spectroscopy for damage detection in composites

Joost Segers (UGent) , Saeid Hedayatrasa (UGent) , Gaétan Poelman (UGent) , Wim Van Paepegem (UGent) and Mathias Kersemans (UGent)

(2022) STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL. 21(2). p.424-437
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CNN-DST : ensemble deep learning based on Dempster–Shafer theory for vibration-based fault recognition

Vahid Yaghoubi Nasrabadi (UGent) , Liangliang Cheng (UGent) , Wim Van Paepegem (UGent) and Mathias Kersemans (UGent)

(2022) STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL. 21(5). p.2063-2082
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Quality inspection of complex-shaped metal parts by vibrations and an integrated Mahalanobis classification system

Liangliang Cheng (UGent) , Vahid Yaghoubi Nasrabadi (UGent) , Wim Van Paepegem (UGent) and Mathias Kersemans (UGent)

(2021) STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL. 20(6). p.3075-3091
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A fast technique using output only to localize and quantify multiple damages for multi-degree-of-freedom systems

Liangliang Cheng (UGent) , Wenshan Fang and Yunpeng Zhu

(2021) STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL. 20(1). p.321-338
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An analytical perspective about structural damage identification based on transmissibility function

Liangliang Cheng (UGent) and Alfredo Cigada

(2020) STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL. 19(1). p.142-155
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Structural damage detection using transmissibility together with hierarchical clustering analysis and similarity measure

Y-L Zhou, NMM Maia, RPC Sampaio and Magd Abdel Wahab (UGent)

(2017) STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL. 16(6). p.711-731

Academic Bibliography

A novel multi-classifier information fusion based on Dempster-Shafer theory : application to vibration-based fault detection

Broadband nonlinear elastic wave modulation spectroscopy for damage detection in composites

CNN-DST : ensemble deep learning based on Dempster–Shafer theory for vibration-based fault recognition

Quality inspection of complex-shaped metal parts by vibrations and an integrated Mahalanobis classification system

A fast technique using output only to localize and quantify multiple damages for multi-degree-of-freedom systems

An analytical perspective about structural damage identification based on transmissibility function

Structural damage detection using transmissibility together with hierarchical clustering analysis and similarity measure

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