Microwave sensor for imaging corrosion under coatings utilizing pattern recognition

Ali, Abdulbaset; Albasir, Abdurhman; Ramahi, Omar M.

doi:10.1109/aps.2016.7696184

Cited by 6 publications

(7 citation statements)

References 3 publications

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“…A. Ali et al [144] propose a Supervised-PCA (SPCA) technique in their paper to image the CUI in metallic structures. The authors show the SPCA 2D visualization in their paper.…”

Section: B Feature Extractionmentioning

confidence: 99%

Prospect of Using Machine Learning-Based Microwave Nondestructive Testing Technique for Corrosion Under Insulation: A Review

et al. 2022

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“…A. Ali et al [144] propose a Supervised-PCA (SPCA) technique in their paper to image the CUI in metallic structures. The authors show the SPCA 2D visualization in their paper.…”

Section: B Feature Extractionmentioning

confidence: 99%

Prospect of Using Machine Learning-Based Microwave Nondestructive Testing Technique for Corrosion Under Insulation: A Review

et al. 2022

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“…Since the technique is limited to classifying the whole sample without defect assessment into defect and defect-free, the use of machine learning allows accurate identification of defects. In case of defect evaluation where the goal is classifying each inspected location into defect or defect-free, such as in [40], the classification is achieved using supervised-PCA features and support vector machine (SVM) classifier to locate the defected regions. The inspection is performed on a coated steel specimen to detect the corrosion undercoating.…”

Section: Several Microwave Ndt Techniques Have Been Reported For Undementioning

confidence: 99%

Microwave Nondestructive Testing for Defect Detection in Composites Based on K-Means Clustering Algorithm

et al. 2021

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“…For future research, artificial intelligence, big data and data science can be considered for the processing of the measurement data to achieve enhanced quality checking and fault diagnosis. Some work was done in the microwave detection of cracks in metals (152)(153)(154) , while little has been reported on composite materials. Hence, the potential for intelligent microwave inspection is to be explored.…”

Section: Advanced Signal Post-processingmentioning

confidence: 99%

Review of microwave techniques used in the manufacture and fault detection of aircraft composites

Li¹,

Wang²,

Haigh³

et al. 2020

Aeronaut. j.

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Microwaves are a form of electromagnetic radiation commonly used for telecommunications, navigation and food processing. More recently microwave technologies have found applications in fibre-reinforced polymer composites, which are increasingly used in aircraft structures. Microwave energy can be applied with low power (up to milliwatts) for non-destructive testing and high power (up to kilowatts) for heating/curing purposes. The state-of-the-art applications at high power include curing, three-dimensional (3D) printing, joining and recycling, whereas low-power microwave techniques can provide quality checks, strain sensing and damage inspection. Low-power microwave testing has the advantage of being non-contact, there is no need for surface transducers or couplants, it is operator friendly and relatively inexpensive; high-power microwave energy can offer volumetric heating, reduced processing time and energy saving with no ionising hazards. In this paper the recent research progress is reviewed, identifying achievements and challenges. First, the critical electromagnetic properties of composites that are closely related to the heating and sensing performance are discussed. Then, representative case studies are presented. Finally, the trends are outlined, including intelligent/automated inspection and solid-state heating.

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Microwave sensor for imaging corrosion under coatings utilizing pattern recognition

Cited by 6 publications

References 3 publications

Prospect of Using Machine Learning-Based Microwave Nondestructive Testing Technique for Corrosion Under Insulation: A Review

Prospect of Using Machine Learning-Based Microwave Nondestructive Testing Technique for Corrosion Under Insulation: A Review

Microwave Nondestructive Testing for Defect Detection in Composites Based on K-Means Clustering Algorithm

Review of microwave techniques used in the manufacture and fault detection of aircraft composites

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