PREDICTIVE MAINTENANCE OF A FLEXIBLE PRODUCTION LINE IMPLEMENTED IN MATLAB
In the latest years, the need of new technologies in the industrial environment has increased due to the need of a more cost efficient, resilient, and sustainable production process. One of the main issues that is addressed in this research work is the lack of a technology that allows prediction and...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Petroleum-Gas University of Ploiesti
2023-12-01
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| Series: | Romanian Journal of Petroleum & Gas Technology |
| Subjects: | |
| Online Access: | http://jpgt.upg-ploiesti.ro/wp-content/uploads/2023/12/24_Stan_Oprea_Articol_RJPGT_v03.pdf |
| _version_ | 1827365942355558400 |
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| author | Carmen Nica Mihaela Oprea Alexandru Calin Stan |
| author_facet | Carmen Nica Mihaela Oprea Alexandru Calin Stan |
| author_sort | Carmen Nica |
| collection | DOAJ |
| description | In the latest years, the need of new technologies in the industrial environment has increased due to the need of a more cost efficient, resilient, and sustainable production process. One of the main issues that is addressed in this research work is the lack of a technology that allows prediction and prevention of the breakdowns of a production line using digital models and artificial intelligence to take the best decisions based on real-time data.
This paper presents a method for collecting data from the production line and feed these data to a database used by the Digital Twin model created in Matlab Predictive Maintenance Toolbox in which, based on this data, a decision about the maintenance activities required will be taken. This approach generates significant value by assisting maintenance engineers in pinpointing the precise timing for equipment maintenance. This capability directly contributes to reducing production line downtime and minimizing failures. Also, the Digital Twin model can be used to enable and test adjustments to the parameters of the production line equipment in order to determine the impact of this changes of the production process without interfering with the production process itself. |
| first_indexed | 2024-03-08T08:40:01Z |
| format | Article |
| id | doaj.art-1a404a74be13402389b3e8abac439193 |
| institution | Directory Open Access Journal |
| issn | 2734-5319 2972-0370 |
| language | English |
| last_indexed | 2024-03-08T08:40:01Z |
| publishDate | 2023-12-01 |
| publisher | Petroleum-Gas University of Ploiesti |
| record_format | Article |
| series | Romanian Journal of Petroleum & Gas Technology |
| spelling | doaj.art-1a404a74be13402389b3e8abac4391932024-02-01T20:23:08ZengPetroleum-Gas University of PloiestiRomanian Journal of Petroleum & Gas Technology2734-53192972-03702023-12-014225125810.51865/JPGT.2023.02.24PREDICTIVE MAINTENANCE OF A FLEXIBLE PRODUCTION LINE IMPLEMENTED IN MATLABCarmen Nica0Mihaela Oprea1Alexandru Calin Stan2Petroleum-Gas University of Ploiesti, RomaniaPetroleum-Gas University of Ploiesti, RomaniaPetroleum-Gas University of Ploiesti, RomaniaIn the latest years, the need of new technologies in the industrial environment has increased due to the need of a more cost efficient, resilient, and sustainable production process. One of the main issues that is addressed in this research work is the lack of a technology that allows prediction and prevention of the breakdowns of a production line using digital models and artificial intelligence to take the best decisions based on real-time data. This paper presents a method for collecting data from the production line and feed these data to a database used by the Digital Twin model created in Matlab Predictive Maintenance Toolbox in which, based on this data, a decision about the maintenance activities required will be taken. This approach generates significant value by assisting maintenance engineers in pinpointing the precise timing for equipment maintenance. This capability directly contributes to reducing production line downtime and minimizing failures. Also, the Digital Twin model can be used to enable and test adjustments to the parameters of the production line equipment in order to determine the impact of this changes of the production process without interfering with the production process itself.http://jpgt.upg-ploiesti.ro/wp-content/uploads/2023/12/24_Stan_Oprea_Articol_RJPGT_v03.pdfpredictive maintenancesmart manufacturingflexible production line |
| spellingShingle | Carmen Nica Mihaela Oprea Alexandru Calin Stan PREDICTIVE MAINTENANCE OF A FLEXIBLE PRODUCTION LINE IMPLEMENTED IN MATLAB Romanian Journal of Petroleum & Gas Technology predictive maintenance smart manufacturing flexible production line |
| title | PREDICTIVE MAINTENANCE OF A FLEXIBLE PRODUCTION LINE IMPLEMENTED IN MATLAB |
| title_full | PREDICTIVE MAINTENANCE OF A FLEXIBLE PRODUCTION LINE IMPLEMENTED IN MATLAB |
| title_fullStr | PREDICTIVE MAINTENANCE OF A FLEXIBLE PRODUCTION LINE IMPLEMENTED IN MATLAB |
| title_full_unstemmed | PREDICTIVE MAINTENANCE OF A FLEXIBLE PRODUCTION LINE IMPLEMENTED IN MATLAB |
| title_short | PREDICTIVE MAINTENANCE OF A FLEXIBLE PRODUCTION LINE IMPLEMENTED IN MATLAB |
| title_sort | predictive maintenance of a flexible production line implemented in matlab |
| topic | predictive maintenance smart manufacturing flexible production line |
| url | http://jpgt.upg-ploiesti.ro/wp-content/uploads/2023/12/24_Stan_Oprea_Articol_RJPGT_v03.pdf |
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