An Inspection and Classification System for Automotive Component Remanufacturing Industry Based on Ensemble Learning
This paper presents an automated inspection and classification system for automotive component remanufacturing industry, based on ensemble learning. The system is based on different stages allowing to classify the components as good, rectifiable or rejection according to the manufacturer criteria. A...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/12/12/489 |
| _version_ | 1827672037653479424 |
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| author | Fátima A. Saiz Garazi Alfaro Iñigo Barandiaran |
| author_facet | Fátima A. Saiz Garazi Alfaro Iñigo Barandiaran |
| author_sort | Fátima A. Saiz |
| collection | DOAJ |
| description | This paper presents an automated inspection and classification system for automotive component remanufacturing industry, based on ensemble learning. The system is based on different stages allowing to classify the components as good, rectifiable or rejection according to the manufacturer criteria. A study of two deep learning-based models’ performance when used individually and when using an ensemble of them is carried out, obtaining an improvement of 7% in accuracy in the ensemble. The results of the test set demonstrate the successful performance of the system in terms of component classification. |
| first_indexed | 2024-03-10T03:54:07Z |
| format | Article |
| id | doaj.art-d7d1dfbe3cf84bfbb48c9b1b2b526f13 |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-10T03:54:07Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-d7d1dfbe3cf84bfbb48c9b1b2b526f132023-11-23T08:51:15ZengMDPI AGInformation2078-24892021-11-01121248910.3390/info12120489An Inspection and Classification System for Automotive Component Remanufacturing Industry Based on Ensemble LearningFátima A. Saiz0Garazi Alfaro1Iñigo Barandiaran2Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), Mikeletegi 57, 20009 Donostia-San Sebastián, SpainVicomtech Foundation, Basque Research and Technology Alliance (BRTA), Mikeletegi 57, 20009 Donostia-San Sebastián, SpainVicomtech Foundation, Basque Research and Technology Alliance (BRTA), Mikeletegi 57, 20009 Donostia-San Sebastián, SpainThis paper presents an automated inspection and classification system for automotive component remanufacturing industry, based on ensemble learning. The system is based on different stages allowing to classify the components as good, rectifiable or rejection according to the manufacturer criteria. A study of two deep learning-based models’ performance when used individually and when using an ensemble of them is carried out, obtaining an improvement of 7% in accuracy in the ensemble. The results of the test set demonstrate the successful performance of the system in terms of component classification.https://www.mdpi.com/2078-2489/12/12/489quality inspectiondeep learningensemble learningcomponent remanufacturingautomotive industry |
| spellingShingle | Fátima A. Saiz Garazi Alfaro Iñigo Barandiaran An Inspection and Classification System for Automotive Component Remanufacturing Industry Based on Ensemble Learning Information quality inspection deep learning ensemble learning component remanufacturing automotive industry |
| title | An Inspection and Classification System for Automotive Component Remanufacturing Industry Based on Ensemble Learning |
| title_full | An Inspection and Classification System for Automotive Component Remanufacturing Industry Based on Ensemble Learning |
| title_fullStr | An Inspection and Classification System for Automotive Component Remanufacturing Industry Based on Ensemble Learning |
| title_full_unstemmed | An Inspection and Classification System for Automotive Component Remanufacturing Industry Based on Ensemble Learning |
| title_short | An Inspection and Classification System for Automotive Component Remanufacturing Industry Based on Ensemble Learning |
| title_sort | inspection and classification system for automotive component remanufacturing industry based on ensemble learning |
| topic | quality inspection deep learning ensemble learning component remanufacturing automotive industry |
| url | https://www.mdpi.com/2078-2489/12/12/489 |
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