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Observer-based fault detection for large-scale systems with event-triggered protocols.

Tao Wang1, Yapeng Li1, Jikun Li1

  • 1Key Laboratory of Magnetic Suspension Technology and Maglev vehicle, Ministry of Education, School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China.

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Summary
This summary is machine-generated.

This study introduces an event-triggered interval observer for fault detection in large-scale systems. The method enhances fault sensitivity while reducing communication load, ensuring system safety and efficiency.

Keywords:
Event-triggeredFault detectionInterval observersLarge-scale systems

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Area of Science:

  • Control Systems Engineering
  • Fault Detection and Diagnosis
  • Large-Scale Systems Analysis

Background:

  • Continuous linear large-scale systems require robust fault detection mechanisms.
  • Existing methods may not efficiently manage communication resources.
  • Interval observers offer a framework for state estimation and fault detection.

Purpose of the Study:

  • To develop an event-triggered interval observer for fault detection in continuous linear large-scale systems.
  • To improve fault sensitivity and reduce communication resource usage.
  • To ensure the proposed method avoids Zeno behavior.

Main Methods:

  • Interval observer design based on positive system theory and Lyapunov stability theory.
  • Construction of a residual interval for normal system behavior determination.
  • Introduction of performance indicators to enhance fault sensitivity.
  • Integration of an event-triggered protocol to minimize communication load.
  • Augmented system construction for deriving observer matrix solution conditions.

Main Results:

  • A novel interval observer-based fault detection scheme is proposed.
  • The event-triggered protocol effectively reduces communication resource occupation.
  • The absence of Zeno behavior is mathematically demonstrated.
  • The effectiveness of the proposed scheme is validated through numerical and practical examples (F-18 aircraft system).

Conclusions:

  • The proposed event-triggered interval observer is effective for fault detection in large-scale systems.
  • The method balances fault sensitivity with communication efficiency.
  • The approach provides a reliable and resource-conscious solution for system monitoring.