Structural Analysis Utilizing MSS Sets with Application to a Paper Plant

Abstract

When designing model-based fault-diagnosis systems, the use of consistency relations (also called e.g., parity relations) is a common choice. Different subsets are sensitive to different subsets of faults, and thereby isolation can be achieved. This paper presents an algorithm for finding a small set of submodels that can be used to derive consistency relations with highest possible diagnosis capability. The algorithm handles differential-algebraic models and is based on graph theoretical reasoning about the structure of the model. An important step, towards finding these submodels and therefore also towards finding consistency relations, is to find all minimal structurally singular (MSS) sets of equations. These sets characterize the fault diagnosability. The algorithm is applied to a large nonlinear industrial example, a part of a paper plant. In spite of the complexity of this process, a small set of consistency relations with high diagnosis capability is successfully derived.

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Document Details

Document Type
Technical Report
Publication Date
May 04, 2002
Accession Number
ADP012693

Entities

People

  • Mattias Krysander
  • Mattias Nyberg

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computational Complexity
  • Consistency
  • Damage Detection
  • Detection
  • Detectors
  • Electrical Engineering
  • Engineering
  • Equations
  • Flow
  • Graph Theory
  • Identification Systems
  • Measurement
  • Simulations
  • Structural Analysis
  • Structural Properties

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Graph Algorithms and Convex Optimization.
  • Theoretical Analysis.