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BAYESIAN DECISION MAKING TO SUPPORT CHANGE DETECTION IN COMPLEX MANUFACTURING SYSTEMS

Project goals

An enduring problem in FDI is that of characterizing the dynamics of complex systems. This is a key step towards feature extraction. The difficulty stems from the fact that in many cases it is not possible to derive a suitable model from the first principles. Given historical data, the typical way to proceed is via data projection into latent structures or by using integral transforms (orthogonal decomposition). Two main topics are addressed within the proposal: (1) Employment of Bayesian framework as systematic approach to feature extraction via exploiting on-line and historical process data available. The considered solution supposes dynamic probabilistic mixture modelling of the underlying process. The probabilistic extraction of information from process data allows us to overcome the dependence on application and does not require detailed knowledge of system dynamics. Furthermore, the related algorithms and used techniques mostly have a long tradition and already proved to be efficient and acc

Keywords

Modelling of complex systemsFault detectionBayesian estimationAdaptive control

Public support

  • Provider

    Ministry of Education, Youth and Sports

  • Programme

    KONTAKT

  • Call for proposals

    KONTAKT 6 (SMSM2008ME3)

  • Main participants

  • Contest type

    VS - Public tender

  • Contract ID

    9186/2008-32

Alternative language

  • Project name in Czech

    BAYESIAN DECISION MAKING TO SUPPORT CHANGE DETECTION IN COMPLEX MANUFACTURING SYSTEMS

  • Annotation in Czech

    An enduring problem in FDI is that of characterizing the dynamics of complex systems. This is a key step towards feature extraction. The difficulty stems from the fact that in many cases it is not possible to derive a suitable model from the first principles. Given historical data, the typical way to proceed is via data projection into latent structures or by using integral transforms (orthogonal decomposition). Two main topics are addressed within the proposal: (1) Employment of Bayesian framework as systematic approach to feature extraction via exploiting on-line and historical process data available. The considered solution supposes dynamic probabilistic mixture modelling of the underlying process. The probabilistic extraction of information from process data allows us to overcome the dependence on application and does not require detailed knowledge of system dynamics. Furthermore, the related algorithms and used techniques mostly have a long tradition and already proved to be efficient and acc

Scientific branches

  • R&D category

    VV - Exeperimental development

  • CEP classification - main branch

    BD - Information theory

  • CEP - secondary branch

    BC - Theory and management systems

  • CEP - another secondary branch

    JS - Reliability and quality management, industrial testing

  • 10102 - Applied mathematics
    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    20306 - Audio engineering, reliability analysis

Completed project evaluation

  • Provider evaluation

    U - Uspěl podle zadání (s publikovanými či patentovanými výsledky atd.)

  • Project results evaluation

    The project yielded an exchange of experience on decision methods and solved state filtering with unknown model matrices, developed partial forgetting for the case of different variability of individual parameters.

Solution timeline

  • Realization period - beginning

    Jan 1, 2008

  • Realization period - end

    Dec 31, 2008

  • Project status

    U - Finished project

  • Latest support payment

    Oct 29, 2008

Data delivery to CEP

  • Confidentiality

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

  • Data delivery code

    CEP09-MSM-ME-U/02:2

  • Data delivery date

    May 7, 2010

Finance

  • Total approved costs

    80 thou. CZK

  • Public financial support

    80 thou. CZK

  • Other public sources

    0 thou. CZK

  • Non public and foreign sources

    0 thou. CZK

Basic information

Recognised costs

80 CZK thou.

Public support

80 CZK thou.

100%


Provider

Ministry of Education, Youth and Sports

CEP

BD - Information theory

Solution period

01. 01. 2008 - 31. 12. 2008