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A fault detection and isolation methodology

Authors: Mukund Desai; Asok Ray;

A fault detection and isolation methodology

Abstract

A fault detection and isolation methodology has been developed for validation of sensors and plant components. Significantly, the isolation of most consistent and inconsistent subsets of measurements for the purposes of estimation and failure detection is performed on the basis of a multi-level, as opposed to the usual bi-level, fail/no fail, characterization of the inconsistencies among measurements. This is achieved by the concurrent checking of the relative consistency of smaller size subsets of measurements. The algorithm has been computer-coded for real time applications, and validated by on-line demonstration in an operating nuclear reactor.

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Powered by OpenAIRE graph
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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!
24
Top 10%
Top 1%
Average
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