NDLI: Recognition and detection methods in supervision and control of the manufacturing processes

Content Provider	IEEE Xplore Digital Library
Author	Shpilewski, E.
Copyright Year	2000
Description	Author affiliation: Inst. of Math. & Inf., Acad. of Sci., Vilnius, Lithuania (Shpilewski, E.)
Abstract	The paper considers a new approach to the supervision and control of the manufacturing processes. It treats supervision and control of the manufacturing systems as a problem of discrete status, operating conditions and events of dynamic objects recognition. The software of computer aided systems for the manufacturing systems supervision includes tools for output signals clustering, dynamic models of discrete status identification, parameters of dynamic models for each status estimation, observable realisation classification and decision making. A method of diagnostics of the electric engine status based on the analysis of process realisation that takes place in the engine is described.
Starting Page	2067
Ending Page	2071
File Size	429510
Page Count	5
File Format	PDF
ISBN	0780355199
ISSN	07431619
DOI	10.1109/ACC.2000.879565
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-06-28
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Manufacturing processes Manufacturing systems Engines Random processes Equations Bayesian methods Mathematics Informatics Control systems Object recognition
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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Recognition and detection methods in supervision and control of the manufacturing processes