Multiphase time-varying batch process monitoring based on stage moving model migration
To improve product qualities and obtain maximum comprehensive economic benefits from batch process production, it is of great practical significance to optimize the operation of batch production processes. Considering the multiphase and slow time-varying characteristics, a multiphase time-varying ba...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2025-05-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/00202940241270894 |
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| _version_ | 1849315004891791360 |
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| author | Luping Zhao Zhongren Chen |
| author_facet | Luping Zhao Zhongren Chen |
| author_sort | Luping Zhao |
| collection | DOAJ |
| description | To improve product qualities and obtain maximum comprehensive economic benefits from batch process production, it is of great practical significance to optimize the operation of batch production processes. Considering the multiphase and slow time-varying characteristics, a multiphase time-varying batch process monitoring method is proposed based on stage moving model migration technology. Firstly, the sliding windows are constructed with moving phases, where the moving of different phases is decided by the influence of the process variables to the final product. And time slices are the basic units for building the regression models. Secondly, to analyze and capture the relationship between the process variables of both the old mode and new mode and the final quality variable, the JY-PLS algorithm is utilized on each time slice within sliding windows for quality prediction. Then, monitoring indexes and corresponding control limits are calculated and used for process monitoring. The application to a real multiphase time-varying batch process, the start-up process of injection molding process, proved the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-bc8f766cc7464a83847227da0d977eb5 |
| institution | Kabale University |
| issn | 0020-2940 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Measurement + Control |
| spelling | doaj-art-bc8f766cc7464a83847227da0d977eb52025-08-20T03:52:15ZengSAGE PublishingMeasurement + Control0020-29402025-05-015810.1177/00202940241270894Multiphase time-varying batch process monitoring based on stage moving model migrationLuping ZhaoZhongren ChenTo improve product qualities and obtain maximum comprehensive economic benefits from batch process production, it is of great practical significance to optimize the operation of batch production processes. Considering the multiphase and slow time-varying characteristics, a multiphase time-varying batch process monitoring method is proposed based on stage moving model migration technology. Firstly, the sliding windows are constructed with moving phases, where the moving of different phases is decided by the influence of the process variables to the final product. And time slices are the basic units for building the regression models. Secondly, to analyze and capture the relationship between the process variables of both the old mode and new mode and the final quality variable, the JY-PLS algorithm is utilized on each time slice within sliding windows for quality prediction. Then, monitoring indexes and corresponding control limits are calculated and used for process monitoring. The application to a real multiphase time-varying batch process, the start-up process of injection molding process, proved the effectiveness of the proposed method.https://doi.org/10.1177/00202940241270894 |
| spellingShingle | Luping Zhao Zhongren Chen Multiphase time-varying batch process monitoring based on stage moving model migration Measurement + Control |
| title | Multiphase time-varying batch process monitoring based on stage moving model migration |
| title_full | Multiphase time-varying batch process monitoring based on stage moving model migration |
| title_fullStr | Multiphase time-varying batch process monitoring based on stage moving model migration |
| title_full_unstemmed | Multiphase time-varying batch process monitoring based on stage moving model migration |
| title_short | Multiphase time-varying batch process monitoring based on stage moving model migration |
| title_sort | multiphase time varying batch process monitoring based on stage moving model migration |
| url | https://doi.org/10.1177/00202940241270894 |
| work_keys_str_mv | AT lupingzhao multiphasetimevaryingbatchprocessmonitoringbasedonstagemovingmodelmigration AT zhongrenchen multiphasetimevaryingbatchprocessmonitoringbasedonstagemovingmodelmigration |