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contributor authorVittorio Verda
contributor authorLuis Serra
contributor authorAntonio Valero
date accessioned2017-05-09T00:15:59Z
date available2017-05-09T00:15:59Z
date copyrightMarch, 2005
date issued2005
identifier issn0195-0738
identifier otherJERTD2-26524#42_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/131716
description abstractThis paper presents a summary of our most recent advances in Thermoeconomic Diagnosis, developed during the last three years, and how they can be integrated in a zooming strategy oriented toward the operational diagnosis of complex systems. In fact, this paper can be considered a continuation of the work presented at the International Conference ECOS’99 in which the concepts of malfunction (intrinsic and induced) and dysfunction were analyzed in detail. These concepts greatly facilitate and simplify the analysis, the understanding, and the quantification of how the presence of an anomaly, or malfunction, affects the behavior of the other plant devices and of the whole system. However, what remains unresolved is the so-called inverse problem of diagnosing, i.e., given two states of the plant (actual and reference operating conditions), find the causes of deviation of the actual conditions with respect to the reference conditions. The present paper tackles this problem and describes significant advances in addressing how to locate the actual causes of malfunctions, based on the application of procedures for filtering induced effects that hide the real causes of degradation. In this paper a progressive zooming thermoeconomic diagnosis procedure, which allows one to concentrate the analysis in an ever more specific zone is described and applied to a combined cycle. In an accompanying paper the accuracy of the diagnosis results is discussed, depending on choice of the thermoeconomic model.
publisherThe American Society of Mechanical Engineers (ASME)
titleThermoeconomic Diagnosis: Zooming Strategy Applied to Highly Complex Energy Systems. Part 1: Detection and Localization of Anomalies*
typeJournal Paper
journal volume127
journal issue1
journal titleJournal of Energy Resources Technology
identifier doi10.1115/1.1819315
journal fristpage42
journal lastpage49
identifier eissn1528-8994
keywordsFlow (Dynamics)
keywordsControl systems
keywordsFuels
keywordsExergy
keywordsIndustrial plants
keywordsPatient diagnosis
keywordsGas turbines AND Energy / power systems
treeJournal of Energy Resources Technology:;2005:;volume( 127 ):;issue: 001
contenttypeFulltext


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