Research Explorer

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Liangliang Cheng

Prijzen & Erkenningen

25 Resultaten

2023

A flexible deep learning framework for thermographic inspection of composites

Zongfei TongLiangliang ChengShejuan XieMathias Kersemans

A1 Artikel in een tijdschrift in NDT & E INTERNATIONAL

An efficient parametrized optical infrared thermography 3D finite element framework for computer vision applications

Zongfei TongSaeid HedayatrasaLiangliang ChengCuixiang PeiZhenmao ChenShejuan XieMathias Kersemans

A1 Artikel in een tijdschrift in NDT & E INTERNATIONAL

Defect-aware super-resolution thermography by adversarial learning

Liangliang ChengMathias Kersemans

Integrated interval Mahalanobis classification system for the quality classification of turbine blades based on vibrational data incorporating measurement uncertainty

Liangliang ChengVahid Yaghoubi NasrabadiWim Van PaepegemMathias Kersemans

A1 Artikel in een tijdschrift in STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Modified equation of shear strength with respect to saturation

Wenjing TianHerman PeifferBenny MalengierGang LiuLiangliang Cheng

A1 Artikel in een tijdschrift in APPLIED SCIENCES-BASEL

Vibration-based quality assessment of metallic turbine blades considering measurement uncertainty

Liangliang ChengWim Van PaepegemMathias Kersemans

2022

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

Vahid Yaghoubi NasrabadiLiangliang ChengWim Van PaepegemMathias Kersemans

A1 Artikel in een tijdschrift in STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

An ensemble classifier for vibration-based quality monitoring

Vahid Yaghoubi NasrabadiLiangliang ChengWim Van PaepegemMathias Kersemans

A1 Artikel in een tijdschrift in MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

Vahid Yaghoubi NasrabadiLiangliang ChengWim Van PaepegemMathias Kersemans

A1 Artikel in een tijdschrift in STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Dual-IRT-GAN : a defect-aware deep adversarial network to perform super-resolution tasks in infrared thermographic inspection

Liangliang ChengMathias Kersemans

A1 Artikel in een tijdschrift in COMPOSITES PART B-ENGINEERING

IRT-GAN : a GAN framework for automated defect segmentation in composites using infrared thermography

Liangliang ChengZongfei TongShejuan XieMathias Kersemans

IRT-GAN : a generative adversarial network with a multi-headed fusion strategy for automated defect detection in composites using infrared thermography

Liangliang ChengZongfei TongShejuan XieMathias Kersemans

A1 Artikel in een tijdschrift in COMPOSITE STRUCTURES

2021

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

Liangliang ChengWenshan FangYunpeng Zhu

A1 Artikel in een tijdschrift in STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

An output-only ARX model-based sensor fusion framework on structural dynamic measurements using distributed optical fiber sensors and fiber Bragg grating sensors

Liangliang ChengAlfredo CigadaZiqiang LangEmanuele ZappaYunpeng Zhu

A1 Artikel in een tijdschrift in MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Automated delamination detection in CFRP using flash infrared thermography and deep learning method

Zongfei TongSaeid HedayatrasaLiangliang ChengShejuan XieMathias Kersemans

Data preparation for training CNNs : application to vibration-based condition monitoring

Vahid Yaghoubi NasrabadiLiangliang ChengWim Van PaepegemMathias Kersemans

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

Liangliang ChengVahid Yaghoubi NasrabadiWim Van PaepegemMathias Kersemans

A1 Artikel in een tijdschrift in STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Vibration-based condition monitoring by ensemble deep learning

Vahid Yaghoubi NasrabadiLiangliang ChengWim Van PaepegemMathias Kersemans

Vibrational quality classification of metallic turbine blades under measurement uncertainty

Liangliang ChengVahid Yaghoubi NasrabadiWim Van PaepegemMathias Kersemans

2020

An analytical perspective about structural damage identification based on transmissibility function

Liangliang ChengAlfredo Cigada

A1 Artikel in een tijdschrift in STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Classifier fusion for vibrational NDT of complex metallic turbine blades

Vahid Yaghoubi NasrabadiLiangliang ChengWim Van PaepegemMathias Kersemans

Mahalanobis classification system (MCS) integrated with binary particle swarm optimization for robust quality classification of complex metallic turbine blades

Liangliang ChengVahid Yaghoubi NasrabadiWim Van PaepegemMathias Kersemans

A1 Artikel in een tijdschrift in MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Mahalonobis classification system for quality classification of complex metallic turbine blades

Liangliang ChengVahid Yaghoubi NasrabadiWim Van PaepegemMathias Kersemans

On the influence of reference Mahalanobis distance space for quality classification of complex metal parts using vibrations

Liangliang ChengVahid Yaghoubi NasrabadiWim Van PaepegemMathias Kersemans

A1 Artikel in een tijdschrift in APPLIED SCIENCES-BASEL

2019

Calibrating static measurement data from distributed fiber optics by the integration of limited FBG sensors based on the extended kernel regression method

Liangliang ChengAlfredo CigadaZi-Qiang LangEmanuele Zappa

A1 Artikel in een tijdschrift in MEASUREMENT SCIENCE AND TECHNOLOGY