L. (Liangliang) Cheng, PhD

Assistant Professor

Faculteit Science and Engineering

Telefoon:

050 36 33395

E-mail:

liangliang.cheng rug.nl

Homepage ORCID Research Portal

Research interests

The research of Dr. Cheng Liangliang mainly focuses on the field of Non-Destructive Testing and Structural Health Monitoring (NDT & SHM), which involves the knowledge of, but not limited to, Dynamics and Vibration, Dynamic System Identification, Signal Processing, and Artificial intelligence.

Publicaties

Dynamic Monitoring of a Masonry Arch Rail Bridge Using a Distributed Fiber Optic Sensing System

Cheng, L., Cigada, A., zappa, E., Gilbert, M. & Lang, Z., 1-mrt.-2024, (E-pub ahead of print) In: Journal of civil structural health monitoring. 16 blz.

Onderzoeksoutput › › peer review

A flexible deep learning framework for thermographic inspection of composites

Tong, Z., Cheng, L., Xie, S. & Kersemans, M., okt.-2023, In: NDT and E International. 139, 12 blz., 102926.

Onderzoeksoutput › › peer review

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

Tong, Z., Hedayatrasa, S., Cheng, L., Pei, C., Chen, Z., Xie, S. & Kersemans, M., apr.-2023, In: NDT & E International. 135, 16 blz., 102787.

Onderzoeksoutput › › peer review

A Preliminary Case Study on the Dynamic Testing of a Masonry Arch Rail Bridge Using a Distributed Fiber Optic Sensing System

Cheng, L., Cigada, A., Zappa, E., Gilbert, M. & Lang, Z-Q., 29-aug.-2023, Experimental Vibration Analysis for Civil Engineering Structures: EVACES 2023 - Volume 2. Pina Limongelli, M., Giordano, P. F., Quqa, S., Gentile, C. & Cigada, A. (redactie). Springer, Vol. 2. blz. 696-703 8 blz. (Lecture Notes in Civil Engineering; vol. 433).

Onderzoeksoutput › › peer review

Defect-aware Super-resolution Thermography by Adversarial Learning

Cheng, L. & Kersemans, M., 1-aug.-2023. 6 blz.

Onderzoeksoutput ›

DMD-T: Thermographic Inspection of Composites using Dynamic Mode Decomposition

Cheng, L., Zhu, Y. & Kersemans, M., 21-aug.-2023. 4 blz.

Onderzoeksoutput ›

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

Cheng, L., Yaghoubi, V., Paepegem, W. V. & Kersemans, M., jan.-2023, In: Structural Health Monitoring. 22, 1, blz. 166-179 14 blz.

Onderzoeksoutput › › peer review

Modified Equation of Shear Strength with Respect to Saturation

Tian, W., Peiffer, H., Malengier, B., Liu, G. & Cheng, L., 28-mrt.-2023, In: Applied Sciences. 13, 7, 18 blz., 4305.

Onderzoeksoutput › › peer review

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

Cheng, L., VanPaepegem, W., Kersemans, M., Rizzo, P. (redactie) & Milazzo, A. (redactie), 2023, European Workshop on Structural Health Monitoring: EWSHM 2022 -Volume 2. Rizzo, P. & Milazzo, A. (redactie). Cham: Springer, blz. 237-244 8 blz. (Lecture Notes in Civil Engineering; vol. 254).

Onderzoeksoutput › › peer review

An ensemble classifier for vibration-based quality monitoring

Yaghoubi Nasrabadi, V., Cheng, L., Wim, VAN. PAEPEGEM. & Kersemans, M., 15-feb.-2022, In: Mechanical systems and signal processing. 165, 18 blz., 2022, 108341.

Onderzoeksoutput › › peer review

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