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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Expertarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Expert
Article . 1991 . Peer-reviewed
License: IEEE Copyright
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Article . 2017
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https://dx.doi.org/10.1109/64....
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Real-time fault diagnostics

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 1991Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Expert, volume 6, pages 75-85 (issn: 0885-9000, Copyright policy )
Authors: Samir Padalkar; Gabor Karsai; Csaba Biegl; Janos Sztipanovits; Koji Okuda; Nobuji Miyasaka;

doi: 10.1109/64.87689

Real-time fault diagnostics

Abstract

The intelligent process control system (IPCS), an integrated environment for developing complex process control and automation systems is discussed, focusing on its real-time fault diagnostics capability. IPCS has been used to build a supervisory monitoring and diagnostics system for a cogenerator plant. The requirements and problems specific to such systems are examined. The key concepts involved in fault modeling in IPCS are explicated. The IPCS reasoning technique is described in some detail. The IPCS tool kit is also described. IPCS's performance in the cogenerator plant application is reported. >

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
48
Average
Top 1%
Top 10%
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