Progress in Root Cause and Fault Propagation Analysis of Large-Scale Industrial Processes

Autor: Fan Yang, Deyun Xiao
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: Journal of Control Science and Engineering, Vol 2012 (2012)
Druh dokumentu: article
ISSN: 1687-5249
1687-5257
DOI: 10.1155/2012/478373
Popis: 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.
Databáze: Directory of Open Access Journals
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