Progress in Root Cause and Fault Propagation Analysis of Large-Scale Industrial Processes
In large-scale industrial processes, a fault can easily propagate between process units due to the interconnections of material and information flows. Thus the problem of fault detection and isolation for these processes is more concerned about the root cause and fault propagation before applying qu...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2012/478373 |
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| _version_ | 1850157531040579584 |
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| author | Fan Yang Deyun Xiao |
| author_facet | Fan Yang Deyun Xiao |
| author_sort | Fan Yang |
| collection | DOAJ |
| description | In large-scale industrial processes, a fault can easily propagate between process units due to the interconnections of material and information flows. Thus the problem of fault detection and isolation for these processes is more concerned about the root cause and fault propagation before applying quantitative methods in local models. Process topology and causality, as the key features of the process description, need to be captured from process knowledge and process data. The modelling methods from these two aspects are overviewed in this paper. From process knowledge, structural equation modelling, various causal graphs, rule-based models, and ontological models are summarized. From process data, cross-correlation analysis, Granger causality and its extensions, frequency domain methods, information-theoretical methods, and Bayesian nets are introduced. Based on these models, inference methods are discussed to find root causes and fault propagation paths under abnormal situations. Some future work is proposed in the end. |
| format | Article |
| id | doaj-art-35910f3afa4f4a8fb267596dabcd79c3 |
| institution | OA Journals |
| issn | 1687-5249 1687-5257 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-35910f3afa4f4a8fb267596dabcd79c32025-08-20T02:24:08ZengWileyJournal of Control Science and Engineering1687-52491687-52572012-01-01201210.1155/2012/478373478373Progress in Root Cause and Fault Propagation Analysis of Large-Scale Industrial ProcessesFan Yang0Deyun Xiao1Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing 100084, ChinaTsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing 100084, ChinaIn large-scale industrial processes, a fault can easily propagate between process units due to the interconnections of material and information flows. Thus the problem of fault detection and isolation for these processes is more concerned about the root cause and fault propagation before applying quantitative methods in local models. Process topology and causality, as the key features of the process description, need to be captured from process knowledge and process data. The modelling methods from these two aspects are overviewed in this paper. From process knowledge, structural equation modelling, various causal graphs, rule-based models, and ontological models are summarized. From process data, cross-correlation analysis, Granger causality and its extensions, frequency domain methods, information-theoretical methods, and Bayesian nets are introduced. Based on these models, inference methods are discussed to find root causes and fault propagation paths under abnormal situations. Some future work is proposed in the end.http://dx.doi.org/10.1155/2012/478373 |
| spellingShingle | Fan Yang Deyun Xiao Progress in Root Cause and Fault Propagation Analysis of Large-Scale Industrial Processes Journal of Control Science and Engineering |
| title | Progress in Root Cause and Fault Propagation Analysis of Large-Scale Industrial Processes |
| title_full | Progress in Root Cause and Fault Propagation Analysis of Large-Scale Industrial Processes |
| title_fullStr | Progress in Root Cause and Fault Propagation Analysis of Large-Scale Industrial Processes |
| title_full_unstemmed | Progress in Root Cause and Fault Propagation Analysis of Large-Scale Industrial Processes |
| title_short | Progress in Root Cause and Fault Propagation Analysis of Large-Scale Industrial Processes |
| title_sort | progress in root cause and fault propagation analysis of large scale industrial processes |
| url | http://dx.doi.org/10.1155/2012/478373 |
| work_keys_str_mv | AT fanyang progressinrootcauseandfaultpropagationanalysisoflargescaleindustrialprocesses AT deyunxiao progressinrootcauseandfaultpropagationanalysisoflargescaleindustrialprocesses |