期刊
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
卷 12, 期 1, 页码 310-321出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2015.2509247
关键词
Decision fusion; distributed data framework; multirate data; multitype data; plant-wide process monitoring
类别
资金
- National Natural Science Foundation of China [61370029]
- National 973 Project of China [2012CB720500]
- Ministry of Science and Technology, R.O.C. [MOST 103-2221-E-033-068-MY3]
- Alexander von Humboldt Foundation
With the growing complexity of the modern industrial process, monitoring large-scale plant-wide processes has become quite popular. Unlike traditional processes, the measured data in the plant-wide process pose great challenges to information capture, data management, and storage. More importantly, it is difficult to efficiently interpret the information hidden within those data. In this paper, the road map of a distributedmodeling framework for plant-wide process monitoring is introduced. Based on this framework, the whole plant-wide process is decomposed into different blocks, and statistical data models are constructed in those blocks. For online monitoring, the results obtained from different blocks are integrated through the decision fusion algorithm. A detailed case study is carried out for performance evaluation of the plant-wide monitoring method. Research challenges and perspectives are discussed and highlighted for future work.
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