Machine learning in industry 4.0
Machine learning and data analysis are crucial for improving the quality of Industry 4.0enabled manufacturing systems. This research aims to identify important parameters and develop machine learning models for predicting quality and system failure in industrial settings.The Singapore Institute of M...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/167004 |
| _version_ | 1826109563487649792 |
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| author | Mohamed Usman S/O Kaligul Zaman |
| author2 | Kedar Hippalgaonkar |
| author_facet | Kedar Hippalgaonkar Mohamed Usman S/O Kaligul Zaman |
| author_sort | Mohamed Usman S/O Kaligul Zaman |
| collection | NTU |
| description | Machine learning and data analysis are crucial for improving the quality of Industry 4.0enabled manufacturing systems. This research aims to identify important parameters and develop machine learning models for predicting quality and system failure in industrial settings.The Singapore Institute of Manufacturing Technologies (SIMTech) at A*STAR will serve as the research site. |
| first_indexed | 2024-10-01T02:20:17Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/167004 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:20:17Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1670042023-05-20T16:45:33Z Machine learning in industry 4.0 Mohamed Usman S/O Kaligul Zaman Kedar Hippalgaonkar School of Materials Science and Engineering kedar@ntu.edu.sg Engineering::Materials Machine learning and data analysis are crucial for improving the quality of Industry 4.0enabled manufacturing systems. This research aims to identify important parameters and develop machine learning models for predicting quality and system failure in industrial settings.The Singapore Institute of Manufacturing Technologies (SIMTech) at A*STAR will serve as the research site. Bachelor of Engineering (Materials Engineering) 2023-05-20T13:46:34Z 2023-05-20T13:46:34Z 2023 Final Year Project (FYP) Mohamed Usman S/O Kaligul Zaman (2023). Machine learning in industry 4.0. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167004 https://hdl.handle.net/10356/167004 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Materials Mohamed Usman S/O Kaligul Zaman Machine learning in industry 4.0 |
| title | Machine learning in industry 4.0 |
| title_full | Machine learning in industry 4.0 |
| title_fullStr | Machine learning in industry 4.0 |
| title_full_unstemmed | Machine learning in industry 4.0 |
| title_short | Machine learning in industry 4.0 |
| title_sort | machine learning in industry 4 0 |
| topic | Engineering::Materials |
| url | https://hdl.handle.net/10356/167004 |
| work_keys_str_mv | AT mohamedusmansokaligulzaman machinelearninginindustry40 |