Researcher
Liangliang Cheng
- Disciplines:Signals and systems, Dynamics, vibration and vibration control, Optical fibre communications, Software and data acquisition, Signal processing
Affiliations
- Department of Materials, Textiles and Chemical Engineering (Department)
Member
From1 Sep 2019 → 1 Feb 2023
Publications
1 - 10 of 24
- Vibration-based quality assessment of metallic turbine blades considering measurement uncertainty(2023)
Authors: Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans, Piervincenzo Rizzo, Alberto Milazzo
Pages: 237 - 244 - An efficient parametrized optical infrared thermography 3D finite element framework for computer vision applications(2023)
Authors: Zongfei Tong, Saeid Hedayatrasa, Liangliang Cheng, Cuixiang Pei, Zhenmao Chen, Shejuan Xie, Mathias Kersemans
- Defect-aware super-resolution thermography by adversarial learning(2023)Volume: 1
Authors: Liangliang Cheng, Mathias Kersemans
Number of pages: 1 - A flexible deep learning framework for thermographic inspection of composites(2023)
Authors: Zongfei Tong, Liangliang Cheng, Shejuan Xie, Mathias Kersemans
- Integrated interval Mahalanobis classification system for the quality classification of turbine blades based on vibrational data incorporating measurement uncertainty(2023)
Authors: Liangliang Cheng, Vahid Yaghoubi Nasrabadi, Wim Van Paepegem, Mathias Kersemans
Pages: 166 - 179 - An ensemble classifier for vibration-based quality monitoring(2022)
Authors: Vahid Yaghoubi Nasrabadi, Liangliang Cheng, Mathias Kersemans
- IRT-GAN : a generative adversarial network with a multi-headed fusion strategy for automated defect detection in composites using infrared thermography(2022)
Authors: Liangliang Cheng, Zongfei Tong, Shejuan Xie, Mathias Kersemans
- IRT-GAN : a GAN framework for automated defect segmentation in composites using infrared thermography(2022)
Authors: Liangliang Cheng, Zongfei Tong, Shejuan Xie, Mathias Kersemans
Number of pages: 1 - CNN-DST : ensemble deep learning based on Dempster–Shafer theory for vibration-based fault recognition(2022)
Authors: Vahid Yaghoubi Nasrabadi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans
Pages: 2063 - 2082 - A novel multi-classifier information fusion based on Dempster-Shafer theory : application to vibration-based fault detection(2022)
Authors: Vahid Yaghoubi Nasrabadi, Liangliang Cheng, Mathias Kersemans
Pages: 596 - 612