Industrial Process Operation State Sensing and Performance Optimization
The aim of this Special Issue is to enable readers to understand the latest technologies in industrial-process operation state sensing and performance optimization. Operational safety, energy consumption, and efficient management of industrial processes have received widespread attention with the ra...
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| Materialtyp: | Online |
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| Språk: | engelska |
| Utgiven: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Ämnen: | |
| Länkar: | ONIX_20250220_9783725824397_275 |
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| _version_ | 1869524482087976960 |
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| collection | Directory of Open Access Books |
| description | The aim of this Special Issue is to enable readers to understand the latest technologies in industrial-process operation state sensing and performance optimization. Operational safety, energy consumption, and efficient management of industrial processes have received widespread attention with the rapid development of large-scale industries. The integration of advanced technologies such as machine learning, artificial intelligence, and data analytics will provide important support for soft sensing, process monitoring, fault diagnosis, energy consumption optimization, and performance improvement. This Special Issue collates research on industrially relevant objects such as geological drilling processes, chemical processes, conventional ageing processes in barrels, photobioreactors for algal growth, waste-to-energy plants, industrial electrical systems, and industrial robots, including technologies such as intrusion detection, fault detection, fire detection, model predictive control, integrated multi-criteria decision making, and emulsion control. By sharing their practice and insights on the development and application of new technologies, the authors of the articles in this reprint have demonstrated the value of operation state sensing and performance optimization in industrial processes, thus providing readers with valuable ideological inspiration in this area. |
| format | Online |
| id | doab-20.500.12854ir-152911 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1529112025-02-20T13:16:24Z Industrial Process Operation State Sensing and Performance Optimization Du, Sheng Jin, Li Wan, Xiongbo Huang, Zixin industrial processes operation state sensing performance improvement thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology The aim of this Special Issue is to enable readers to understand the latest technologies in industrial-process operation state sensing and performance optimization. Operational safety, energy consumption, and efficient management of industrial processes have received widespread attention with the rapid development of large-scale industries. The integration of advanced technologies such as machine learning, artificial intelligence, and data analytics will provide important support for soft sensing, process monitoring, fault diagnosis, energy consumption optimization, and performance improvement. This Special Issue collates research on industrially relevant objects such as geological drilling processes, chemical processes, conventional ageing processes in barrels, photobioreactors for algal growth, waste-to-energy plants, industrial electrical systems, and industrial robots, including technologies such as intrusion detection, fault detection, fire detection, model predictive control, integrated multi-criteria decision making, and emulsion control. By sharing their practice and insights on the development and application of new technologies, the authors of the articles in this reprint have demonstrated the value of operation state sensing and performance optimization in industrial processes, thus providing readers with valuable ideological inspiration in this area. 2025-02-20T13:16:21Z 2025-02-20T13:16:21Z 2024 book ONIX_20250220_9783725824397_275 9783725824397 9783725824403 https://directory.doabooks.org/handle/20.500.12854/152911 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/10159 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2440-3 10.3390/books978-3-7258-2440-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725824397 9783725824403 474 Basel open access |
| spellingShingle | industrial processes operation state sensing performance improvement thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology Industrial Process Operation State Sensing and Performance Optimization |
| title | Industrial Process Operation State Sensing and Performance Optimization |
| title_full | Industrial Process Operation State Sensing and Performance Optimization |
| title_fullStr | Industrial Process Operation State Sensing and Performance Optimization |
| title_full_unstemmed | Industrial Process Operation State Sensing and Performance Optimization |
| title_short | Industrial Process Operation State Sensing and Performance Optimization |
| title_sort | industrial process operation state sensing and performance optimization |
| topic | industrial processes operation state sensing performance improvement thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| topic_facet | industrial processes operation state sensing performance improvement thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| url | ONIX_20250220_9783725824397_275 |