Pipeline in-line inspection method, instrumentation and data management

Q Ma, G Tian, Y Zeng, R Li, H Song, Z Wang, B Gao… - Sensors, 2021 - mdpi.com
Pipelines play an important role in the national/international transportation of natural gas,
petroleum products, and other energy resources. Pipelines are set up in different …

Artificial intelligence, machine learning and smart technologies for nondestructive evaluation

H Taheri, M Gonzalez Bocanegra, M Taheri - Sensors, 2022 - mdpi.com
Nondestructive evaluation (NDE) techniques are used in many industries to evaluate the
properties of components and inspect for flaws and anomalies in structures without altering …

A review of microwave thermography nondestructive testing and evaluation

H Zhang, R Yang, Y He, A Foudazi, L Cheng, G Tian - Sensors, 2017 - mdpi.com
Microwave thermography (MWT) has many advantages including strong penetrability,
selective heating, volumetric heating, significant energy savings, uniform heating, and good …

Prospect of using artificial intelligence for microwave nondestructive testing technique: A review

NHMM Shrifan, MF Akbar, NAM Isa - IEEE Access, 2019 - ieeexplore.ieee.org
The development in materials technology has produced stronger, lighter, stiffer, and more
durable electrically insulating composites which are replacing metals in many applications …

Maximal overlap discrete wavelet-packet transform aided microwave nondestructive testing

NHMM Shrifan, MF Akbar, NAM Isa - NDT & E International, 2021 - Elsevier
The capability of microwave signals to penetrate inside composites and interact with the
inner structure makes them a very attractive candidate for composite inspection. Various …

On smart geometric non-destructive evaluation: inspection methods, overview, and challenges

A Jaber, S Sattarpanah Karganroudi, MS Meiabadi… - Materials, 2022 - mdpi.com
Inspection methods, also known as non-destructive evaluation (NDE), is a process for
inspecting materials, products, and facilities to identify flaws, imperfections, and malfunctions …

An ensemble classifier for vibration-based quality monitoring

V Yaghoubi, L Cheng, W Van Paepegem… - … Systems and Signal …, 2022 - Elsevier
Vibration-based quality monitoring of manufactured components often employs pattern
recognition methods. Albeit developing several classification methods, they usually provide …

A correlation-based binary particle swarm optimization method for feature selection in human activity recognition

H Wang, R Ke, J Li, Y An, K Wang… - International Journal of …, 2018 - journals.sagepub.com
Effective feature selection determines the efficiency and accuracy of a learning process,
which is essential in human activity recognition. In existing works, for simplification …

Material thickness classification using scattering parameters, dielectric constants, and machine learning

PT Hien, IP Hong - Applied Sciences, 2021 - mdpi.com
Wall-thinning in building structures due to corrosion and surface erosion occurs due to the
severe operating conditions and the changing of the surrounding environment, or it can …

[HTML][HTML] Research on CFRP Defects Recognition and Localization Based on Metamaterial Sensors

Z Zhu, R Han - Symmetry, 2024 - mdpi.com
In the paper, the concept of symmetry is utilized to detect internal defects in Carbon fiber
reinforced polymer (CFRP), that is, the reconstruction and localization methods for internal …