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BRIDGE: Matching Model-Based Diagnosis from FDI and DX Perspectives

Authors: Travé-Massuyès, Louise; Escobet, Teresa;

BRIDGE: Matching Model-Based Diagnosis from FDI and DX Perspectives

Abstract

After the introduction section of Chapter 7, section 7.2 first presents a brief overview of the approaches proposed by the FDI and DX model- based diagnosis communities. Although quite commonplace, this overview is neces- sary because it provides the basic concepts and principles that form the foundations of our comparative analysis. It is followed by the comparison of the mathematical objects used as input of the diagnosis procedures. Section 7.3 then establishes the correspondances of concepts on both sides and compares the techniques used by the two communities. Interestingly, the results obtained by the two approaches are shown to be the same under some assumptions that are exhibited. Finally, Section 7.4 illustrates the DX-FDI MBD bridge with the classical example of the polybox.

Peer Reviewed

Countries
France, France, Spain
Keywords

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], 330, :Informàtica::Automàtica i control [Àrees temàtiques de la UPC], Model-based diagnosis, DX-FDI MBD bridge, Detectors, Failure analysis (Engineering), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [SPI.AUTO]Engineering Sciences [physics]/Automatic, [SPI.AUTO] Engineering Sciences [physics]/Automatic, Àrees temàtiques de la UPC::Informàtica::Automàtica i control, Fault detection and isolation, Anàlisi de fallades (Enginyeria), FDI-DX bridge

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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