Applications of machine learning in pipeline integrity management: A state-of-the-art review

A Rachman, T Zhang, RMC Ratnayake - International journal of pressure …, 2021 - Elsevier
Despite being considered the safest means to transport oil and gas, pipelines are
susceptible to degradation. Pipeline integrity management (PIM) is implemented to lower the …

Maintenance management of wind turbines structures via mfcs and wavelet transforms

RR de la Hermosa González, FPG Márquez… - … and Sustainable Energy …, 2015 - Elsevier
This paper introduces a novel Fault Detection and Diagnosis method based on the wavelet
transform to detect defects on the tower of a wind turbine. 24 Macro-Fiber Composite …

Deepaup: A deep neural network framework for abnormal underground heat transport pipelines

M Lee, H Ji, E Park - IEEE Transactions on Automation Science …, 2023 - ieeexplore.ieee.org
Pipeline inspection methods are continuously being developed, given that the safe
maintenance and operation of heat transport pipelines is one of the most important issues in …

Pattern recognition by wavelet transforms using macro fibre composites transducers

RR de la Hermosa Gonzalez, FPG Márquez… - … Systems and Signal …, 2014 - Elsevier
This paper presents a novel pattern recognition approach for a non-destructive test based
on macro fibre composite transducers applied in pipes. A fault detection and diagnosis …

Ultrasonic signal processing methods for detection of defects in concrete pipes

S Iyer, SK Sinha, BR Tittmann, MK Pedrick - Automation in Construction, 2012 - Elsevier
Automated inspection systems are important for maintenance and rehabilitation of pipeline
systems in North America given their budgetary constraints, demand on providing quality …

Evaluation of ultrasonic inspection and imaging systems for concrete pipes

S Iyer, SK Sinha, MK Pedrick, BR Tittmann - Automation in construction, 2012 - Elsevier
Accurate pipeline condition assessment is vital to developing a cost effective and
sustainable buried asset management system. Maintenance and rehabilitation of pipeline …

[HTML][HTML] Ultrasonic based concrete defects identification via wavelet packet transform and GA-BP neural network

T Hu, J Zhao, R Zheng, P Wang, X Li, Q Zhang - PeerJ Computer Science, 2021 - peerj.com
Concrete is the main material in building. Since its poor structural integrity may cause
accidents, it is significant to detect defects in concrete. However, it is a challenging topic as …

Classification of damage types in liquid-filled buried pipes based on deep learning

Q Ma, G Du, Z Yu, H Yuan, X Wei - Measurement Science and …, 2022 - iopscience.iop.org
In long-distance pipelines, this type of local damage can lead to different forms of damage.
Ultrasound (UT)-guided wave technology can detect channel damage at a distance and …

Research on ultrasonic defect identification method of well control manifold pipeline based on IAFSA-SVM

H Liang, G Cheng, Z Zhang, H Yang - Measurement, 2022 - Elsevier
In view of the classification of corrosion defects of well controlled manifold pipelines, an
ultrasonic defect recognition method based on the combination of support vector machine …

Carburization level identification in industrial HP pipes using ultrasonic evaluation and machine learning

LFM Rodrigues, FC Cruz, MA Oliveira, EF Simas Filho… - Ultrasonics, 2019 - Elsevier
Ultrasound nondestructive testing is commonly applied in industry to guarantee structural
integrity. HP steel pyrolysis furnaces are used in petrochemical industry for lightweight …