Improving the Ability of a Laser Ultrasonic Wave-Based Detection of Damage on the Curved Surface of a Pipe Using a Deep Learning Technique
With the advent of the Fourth Industrial Revolution, the economic, social, and technological demands for pipe maintenance are increasing due to the aging of the infrastructure caused by the increase in industrial development and the expansion of cities. Owing to this, an automatic pipe damage detect...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/21/7105 |
| _version_ | 1797511759018328064 |
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| author | Byoungjoon Yu Kassahun Demissie Tola Changgil Lee Seunghee Park |
| author_facet | Byoungjoon Yu Kassahun Demissie Tola Changgil Lee Seunghee Park |
| author_sort | Byoungjoon Yu |
| collection | DOAJ |
| description | With the advent of the Fourth Industrial Revolution, the economic, social, and technological demands for pipe maintenance are increasing due to the aging of the infrastructure caused by the increase in industrial development and the expansion of cities. Owing to this, an automatic pipe damage detection system was built using a laser-scanned pipe’s ultrasonic wave propagation imaging (UWPI) data and conventional neural network (CNN)-based object detection algorithms. The algorithm used in this study was EfficientDet-d0, a CNN-based object detection algorithm which uses the transfer learning method. As a result, the mean average precision (mAP) was measured to be 0.39. The result found was higher than COCO EfficientDet-d0 mAP, which is expected to enable the efficient maintenance of piping used in construction and many industries. |
| first_indexed | 2024-03-10T05:52:35Z |
| format | Article |
| id | doaj.art-1678e8e1e49a4dfe955cb848085663b3 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T05:52:35Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1678e8e1e49a4dfe955cb848085663b32023-11-22T21:36:39ZengMDPI AGSensors1424-82202021-10-012121710510.3390/s21217105Improving the Ability of a Laser Ultrasonic Wave-Based Detection of Damage on the Curved Surface of a Pipe Using a Deep Learning TechniqueByoungjoon Yu0Kassahun Demissie Tola1Changgil Lee2Seunghee Park3Department of Convergence Engineering for Future City, Sungkyunkwan University, Suwon 16419, KoreaDepartment of Civil, Architecture and Environmental System Engineering, Sungkyunkwan University, Suwon 16419, KoreaAdvanced Infrastructure Convergence Research Department, Korea Railroad Research Institute, Uiwang 16105, KoreaSchool of Civil, Architectural Engineering and Landscape Architecture, Sungkyunkwan University, Suwon 16419, KoreaWith the advent of the Fourth Industrial Revolution, the economic, social, and technological demands for pipe maintenance are increasing due to the aging of the infrastructure caused by the increase in industrial development and the expansion of cities. Owing to this, an automatic pipe damage detection system was built using a laser-scanned pipe’s ultrasonic wave propagation imaging (UWPI) data and conventional neural network (CNN)-based object detection algorithms. The algorithm used in this study was EfficientDet-d0, a CNN-based object detection algorithm which uses the transfer learning method. As a result, the mean average precision (mAP) was measured to be 0.39. The result found was higher than COCO EfficientDet-d0 mAP, which is expected to enable the efficient maintenance of piping used in construction and many industries.https://www.mdpi.com/1424-8220/21/21/7105plumbing maintenancedeep learningultrasonic wave propagation imagingCNNexternal damage |
| spellingShingle | Byoungjoon Yu Kassahun Demissie Tola Changgil Lee Seunghee Park Improving the Ability of a Laser Ultrasonic Wave-Based Detection of Damage on the Curved Surface of a Pipe Using a Deep Learning Technique Sensors plumbing maintenance deep learning ultrasonic wave propagation imaging CNN external damage |
| title | Improving the Ability of a Laser Ultrasonic Wave-Based Detection of Damage on the Curved Surface of a Pipe Using a Deep Learning Technique |
| title_full | Improving the Ability of a Laser Ultrasonic Wave-Based Detection of Damage on the Curved Surface of a Pipe Using a Deep Learning Technique |
| title_fullStr | Improving the Ability of a Laser Ultrasonic Wave-Based Detection of Damage on the Curved Surface of a Pipe Using a Deep Learning Technique |
| title_full_unstemmed | Improving the Ability of a Laser Ultrasonic Wave-Based Detection of Damage on the Curved Surface of a Pipe Using a Deep Learning Technique |
| title_short | Improving the Ability of a Laser Ultrasonic Wave-Based Detection of Damage on the Curved Surface of a Pipe Using a Deep Learning Technique |
| title_sort | improving the ability of a laser ultrasonic wave based detection of damage on the curved surface of a pipe using a deep learning technique |
| topic | plumbing maintenance deep learning ultrasonic wave propagation imaging CNN external damage |
| url | https://www.mdpi.com/1424-8220/21/21/7105 |
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