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Fault Isolation and Estimation in Networks of Linear Process Systems.

Wijaya Kurniawan1, Katalin M Hangos1,2, Lőrinc Márton3

  • 1Department of Electrical Engineering and Information Systems, University of Pannonia, 8200 Veszprem, Hungary.

Entropy (Basel, Switzerland)
|June 28, 2023
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Summary

This study introduces a novel method for fault detection and isolation in networked linear systems with loops. The approach accurately identifies faulty components within complex network structures, enhancing system reliability.

Keywords:
disturbance observerfault isolationnetwork diagnosisprocess network

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Area of Science:

  • Control Systems Engineering
  • Networked Systems Analysis
  • Fault Diagnosis

Background:

  • Complex networked systems necessitate robust fault detection and isolation (FDI).
  • Network loops complicate FDI due to fault propagation.
  • Existing methods struggle with loop-induced fault complexities.

Purpose of the Study:

  • To develop an effective FDI procedure for networked linear process systems with loops.
  • To address challenges posed by fault propagation in cyclic network structures.
  • To propose a method for locating faulty elements within network loops.

Main Methods:

  • Utilized a two-input single-output (2ISO) Linear Time-Invariant (LTI) state-space model for network elements.
  • Employed steady-state analysis and superposition principles to analyze fault effects.
  • Developed a disturbance observer, inspired by proportional-integral (PI) observers, for fault magnitude estimation.

Main Results:

  • Successfully proposed a fault detection and isolation procedure pinpointing faulty elements in network loops.
  • Introduced a disturbance observer for accurate fault magnitude estimation.
  • Validated the methods through two simulation case studies in MATLAB/Simulink.

Conclusions:

  • The proposed FDI method effectively handles fault propagation in networked systems with loops.
  • The approach enhances the reliability and diagnostic capabilities of complex linear systems.
  • Simulation results confirm the efficacy of the developed fault isolation and estimation techniques.