Measurement of defect thickness of the wall thinning defect pipes by lock-in infrared thermography technique

Kim, Kyeong-Suk; Kim, Kyungsu; Jung, Hyung-Shik; Chang, Ho-Sub

doi:10.1117/12.851595

Cited by 4 publications

(3 citation statements)

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“…Rainwater and corrosion under the insulation layer outside the container can also cause external corrosion, resulting in local corrosion pits. Pit defects can be found anywhere in the welding area and pipeline [4][5] [6]. Therefore, in comprehensive inspection, the detection of corrosion thinning has considerable significance.…”

Section: Introductionmentioning

confidence: 99%

Research on infrared imaging features of corrosion and thinning of pressure vessels

Zhang

2024

International Conference on Optoelectronic Materials and Devices (ICOMD 2023)

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Section: Introductionmentioning

confidence: 99%

Research on infrared imaging features of corrosion and thinning of pressure vessels

Zhang

2024

International Conference on Optoelectronic Materials and Devices (ICOMD 2023)

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“…A rotating optical geometry and infrared sensors were adopted in [25] and [26], respectively. Magnetic sensors, such as magnetic flux leakage [10], eddy current [11], [27], magnetic particle, and Hall-effect sensors, have been widely adopted in commercial gas pipe inspection and detection, taking advantage of the abundance of metallic utility pipes.…”

Section: Introductionmentioning

confidence: 99%

Rényi Entropy Filter for Anomaly Detection With Eddy Current Remote Field Sensors

2015

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Abstract-We consider a multi-channel remote field eddy current sensor apparatus, which is installed on a mobile robot which is deployed in pipelines with the mission of detection defects. Features in raw sensory data that are associated with defects could be masked by noise and therefore difficult to identify in some instances. In order to enhance these features that potentially identify defects, we propose an entropy filter that maps raw sensory data points into a local entropy measure. In the entropy space, data is then classified by means of a thresholding procedure based on the Neymnan-Pearson criterion. The effectiveness of the algorithm is demonstrated by applying it to different data sets obtained from field trials.

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“…Acoustic and ultrasonic sensors were tested in [3]- [6]. A rotating optical geometry and infrared sensors were adopted in [7] and [8], respectively. Despite their promising performance, they remain limited by the shortcomings naturally inherited from image-processing techniques, in general, such as relatively high cost and computational complexity, and dependence on the lighting condition inside the pipe.…”

Section: Introductionmentioning

confidence: 99%

Entropy filter for anomaly detection with eddy current remote field sensors

Spinello

Gueaieb

Lee³

2011

2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE)

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Abstract-We consider the problem of extracting a specific feature from a noisy signal generated by a multi-channels Remote Field Eddy Current Sensor. The sensor is installed on a mobile robot whose mission is the detection of anomalous regions in metal pipelines. Given the presence of noise that characterizes the data series, anomaly signals could be masked by noise and therefore difficult to identify in some instances. In order to enhance signal peaks that potentially identify anomalies we consider an entropy filter built on a posteriori probability density functions associated with data series. Thresholds based on the Neyman-Pearson criterion for hypothesis testing are derived. The algorithmic tool is applied to the analysis of data from a portion of pipeline with a set of anomalies introduced at predetermined locations. Critical areas identifying anomalies capture the set of damaged locations, demonstrating the effectiveness of the filter in detection with Remote Field Eddy Current Sensor.

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Measurement of defect thickness of the wall thinning defect pipes by lock-in infrared thermography technique

Cited by 4 publications

References 0 publications

Research on infrared imaging features of corrosion and thinning of pressure vessels

Research on infrared imaging features of corrosion and thinning of pressure vessels

Rényi Entropy Filter for Anomaly Detection With Eddy Current Remote Field Sensors

Entropy filter for anomaly detection with eddy current remote field sensors

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