The prediction algorithm of the technical state of an object by means of fuzzy logic inference models

The prediction algorithm of the technical state of an object was elaborated to predict emergencies at object functioning and to provide urgent steps required to control the object. The technical state is described by a set of indices represented by a system of time series. The adequate mathematical...

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Bibliographic Details
Published in:Procedia engineering Vol. 201; pp. 767 - 772
Main Author: Kuvayskova, Yu. E.
Format: Journal Article
Language:English
Published: Elsevier Ltd 2017
Subjects:
adaptive regression modeling
fuzzy logic
prediction
system of time series
technical object
prediction
technical object
adaptive regression modeling
fuzzy logic
system of time series
ISSN:1877-7058, 1877-7058
Online Access:Get full text
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Summary:The prediction algorithm of the technical state of an object was elaborated to predict emergencies at object functioning and to provide urgent steps required to control the object. The technical state is described by a set of indices represented by a system of time series. The adequate mathematical model is built by means of an adaptive regression modeling for the system of time series. The model is used to predict the object indices. The predicted values of indices are analyzed by means of fuzzy logic and predicted state of an object is deduced as a fuzzy term.
ISSN:1877-7058
1877-7058
DOI:10.1016/j.proeng.2017.09.624