Accession Number:

ADP012707

Title:

Object-Oriented Dynamic Bayesian Network-Templates for Modelling Mechatronic Systems

Descriptive Note:

Conference paper

Corporate Author:

DAIMLER CHRYSLER AG STUTTGART (GERMANY)

Report Date:

2002-05-04

Pagination or Media Count:

7.0

Abstract:

The object-oriented paradigm is a new but proven technology for modelling mechatronics, i.e., multidisciplinary modelling. For many reasons the object-oriented approach is very much desirable also for qualitative models in system design, diagnosis or verification. Bayesian networks are a very robust technology for qualitative probabilistic modelling. In this paper we present a first approach in using the Bayesian networks modelling technique with the quantitative object-oriented method. Analogous to Modelica, an object-oriented modelling language, we constructed a Bayesian network library for modelling hydraulic systems. These Bayesian networks are called Object Oriented Dynamic Bayes Nets OODBNs. Our method is easily transferable to any other physical domain or logic. In this contribution our motivation and the construction steps are described. Simulation results for a sample hydraulic system are given.

Subject Categories:

  • Operations Research
  • Statistics and Probability
  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE