Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracks
A new method for computing fracture mechanics parameters using computational Eddy Current Modelling by Multi-layer Perceptron Neural Networks for detecting surface cracks. The method is based upon an inverse problem using an Arti?cial Neural Network (ANN) that simulates mapping between Eddy current...
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| Format: | Article |
| Language: | English |
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Gruppo Italiano Frattura
2018-07-01
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| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | http://www.gruppofrattura.it/pdf/rivista/numero45/numero_45_art_12.pdf |
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| _version_ | 1841562933585248256 |
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| author | S. Harzallah R. Rebhi M. Chabaat A. Rabehi |
| author_facet | S. Harzallah R. Rebhi M. Chabaat A. Rabehi |
| author_sort | S. Harzallah |
| collection | DOAJ |
| description | A new method for computing fracture mechanics parameters using computational Eddy Current Modelling by Multi-layer Perceptron Neural Networks for detecting surface cracks. The method is based upon an inverse problem using an Arti?cial Neural Network (ANN) that simulates mapping between Eddy current signals and crack pro?les. Simultaneous use of ANN by MLP can be very helpful for the localization and the shape classification of defects. On the other side, it can be described as the task of reconstructing the cracks and damage in the plate profile of an頠 inspected� specimen� in� order� to� estimate� its� material properties. This is accomplished by inverting eddy current probe impedance measurements that are recorded as a function of probe position, excitation frequency or both. In eddy current nondestructive evaluation, this is widely recognized as a complex theoretical problem whose solution is likely to have a significant impact on the detection of cracks in materials |
| format | Article |
| id | doaj-art-8a01d37e3718484c887f811749857208 |
| institution | Kabale University |
| issn | 1971-8993 |
| language | English |
| publishDate | 2018-07-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-8a01d37e3718484c887f8117498572082025-01-03T00:39:30ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932018-07-01124514715510.3221/IGF-ESIS.45.1210.3221/IGF-ESIS.45.12Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracksS. HarzallahR. RebhiM. ChabaatA. RabehiA new method for computing fracture mechanics parameters using computational Eddy Current Modelling by Multi-layer Perceptron Neural Networks for detecting surface cracks. The method is based upon an inverse problem using an Arti?cial Neural Network (ANN) that simulates mapping between Eddy current signals and crack pro?les. Simultaneous use of ANN by MLP can be very helpful for the localization and the shape classification of defects. On the other side, it can be described as the task of reconstructing the cracks and damage in the plate profile of an頠 inspected� specimen� in� order� to� estimate� its� material properties. This is accomplished by inverting eddy current probe impedance measurements that are recorded as a function of probe position, excitation frequency or both. In eddy current nondestructive evaluation, this is widely recognized as a complex theoretical problem whose solution is likely to have a significant impact on the detection of cracks in materialshttp://www.gruppofrattura.it/pdf/rivista/numero45/numero_45_art_12.pdf3D-FEM-ECArtificial Neural NetworkInverse ProblemsCracksMulti-layer Perceptron |
| spellingShingle | S. Harzallah R. Rebhi M. Chabaat A. Rabehi Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracks Fracture and Structural Integrity 3D-FEM-EC Artificial Neural Network Inverse Problems Cracks Multi-layer Perceptron |
| title | Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracks |
| title_full | Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracks |
| title_fullStr | Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracks |
| title_full_unstemmed | Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracks |
| title_short | Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracks |
| title_sort | eddy current modelling using multi layer perceptron neural networks for detecting surface cracks |
| topic | 3D-FEM-EC Artificial Neural Network Inverse Problems Cracks Multi-layer Perceptron |
| url | http://www.gruppofrattura.it/pdf/rivista/numero45/numero_45_art_12.pdf |
| work_keys_str_mv | AT sharzallah eddycurrentmodellingusingmultilayerperceptronneuralnetworksfordetectingsurfacecracks AT rrebhi eddycurrentmodellingusingmultilayerperceptronneuralnetworksfordetectingsurfacecracks AT mchabaat eddycurrentmodellingusingmultilayerperceptronneuralnetworksfordetectingsurfacecracks AT arabehi eddycurrentmodellingusingmultilayerperceptronneuralnetworksfordetectingsurfacecracks |