2007
DOI: 10.1016/j.ins.2006.10.009
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Prediction-based diagnosis and loss prevention using qualitative multi-scale models

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Cited by 17 publications
(10 citation statements)
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“…Further, the authors built a process-specific ontology to describe the concepts of process, diagnostic ontology to express the knowledge from human expertise and related operations. A prototype prediction based intelligent diagnostic system is introduced in [190]. The prototype system integrates qualitative and quantitative process models, operational experience with a real-time G2 expert system.…”
Section: Modern Methods For Fault Prediction and Preventionmentioning
confidence: 99%
“…Further, the authors built a process-specific ontology to describe the concepts of process, diagnostic ontology to express the knowledge from human expertise and related operations. A prototype prediction based intelligent diagnostic system is introduced in [190]. The prototype system integrates qualitative and quantitative process models, operational experience with a real-time G2 expert system.…”
Section: Modern Methods For Fault Prediction and Preventionmentioning
confidence: 99%
“…This approach provides formal analysis of procedures as represented by BLHAZID type outcomes. See Németh et al (2007).…”
Section: Extensions To People and Proceduresmentioning
confidence: 99%
“…Different approaches to the problem appear in the literature: data-based (case-based [20]), knowledge-based, differential-equation approaches or discrete-event formulations [3,23]. The full diagnosis problem is a complex one: it should include temporal analysis [47,21] and a probabilistic setting [5], multiscale models [30], in a framework such as hybrid recurrent Bayesian networks [19,33], as well as decision-theoretic criteria; the reader is referred to [9,4,22] for further information. Gradual presence of disorder intensities and manifestations inspired the use of fuzzy logic [1,6].…”
Section: Introductionmentioning
confidence: 99%