A Qualitative Dynamic Model of an Autogenously Mill

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F02%3APU34057" target="_blank" >RIV/00216305:26110/02:PU34057 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

A Qualitative Dynamic Model of an Autogenously Mill

Original language description

Autogenously or semi-autogenously grinding is difficult to characterize by conven-tional modelling methods, because performance is dependent upon the quality and quantity of the rocks in the feed. These normally vary continuously and a detailed modellingexercise will only describe a limited range of conditions. This type of grinding is therefore an ideal application of qualitative modelling. Real valued variables are replaced with qualitative variables which can adopt only three values +, 0 and -. Dynamic behaviours are described in terms of changes in the qualitative values of state variables and their first and second derivatives. There are two types of milling knowledge, equation based and equation less knowledge items. Conventional quantitative models (usually sets of differential equations) can be degraded to these values are related by means of qualitative differential equations. Commonsense heuristics, experience, observations, qualitatively degraded on-line measurements are us

Czech name

Kvalitativní dynamický model autogenního mlýna

Czech description

Autogenously or semi-autogenously grinding is difficult to characterize by conven-tional modelling methods, because performance is dependent upon the quality and quantity of the rocks in the feed. These normally vary continuously and a detailed modellingexercise will only describe a limited range of conditions. This type of grinding is therefore an ideal application of qualitative modelling. Real valued variables are replaced with qualitative variables which can adopt only three values +, 0 and -. Dynamic behaviours are described in terms of changes in the qualitative values of state variables and their first and second derivatives. There are two types of milling knowledge, equation based and equation less knowledge items. Conventional quantitative models (usually sets of differential equations) can be degraded to these values are related by means of qualitative differential equations. Commonsense heuristics, experience, observations, qualitatively degraded on-line measurements are us

Type

D - Article in proceedings

CEP classification

JP - Industrial processes and processing

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2002

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

CHISA 2002

ISBN

80-86059-33-2

ISSN

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e-ISSN

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Number of pages

19

Pages from-to

212-230

Publisher name

Česká společnost chemického inženýrství

Place of publication

Praha

Event location

Praha

Event date

Aug 25, 2002

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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