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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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A consensus-based multi-agent approach for estimation in robust fault detection.

Yulian Jiang1, Jianchang Liu2, Shenquan Wang3

  • 1College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110819, China; State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning 110819, China.

ISA Transactions
|June 26, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a robust fault detection method for sensor networks using a consensus-based multi-agent approach. It effectively handles network delays and data loss for improved estimation accuracy.

Keywords:
ConsensusDistributed estimationFault detectionMulti-agent theorySensor network

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Area of Science:

  • Control Systems Engineering
  • Networked Systems
  • Signal Processing

Background:

  • Sensor networks are vulnerable to networked-induced delays and packet dropouts, compromising fault detection accuracy.
  • Existing fault detection methods often struggle with the complexities of distributed systems and uncertain network conditions.

Purpose of the Study:

  • To develop a robust fault detection strategy for sensor networks.
  • To address challenges posed by networked-induced delays and packet dropouts.
  • To enhance estimation performance in distributed fault detection scenarios.

Main Methods:

  • A consensus-based multi-agent approach is employed for information interaction and coordination.
  • Novel agent-based robust fault detection filters (RFDFs) are designed using partial information.
  • Asymptotically stable conditions for the filters are derived using linear matrix inequality (LMI).

Main Results:

  • Sufficient conditions for filter stability were successfully derived.
  • Effective thresholds for each agent-based RFDF were determined.
  • The proposed method demonstrated effectiveness in handling network uncertainties.

Conclusions:

  • The consensus-based multi-agent approach provides a robust solution for fault detection in sensor networks.
  • The designed RFDFs are effective even with partial information and network-induced disturbances.
  • The study validates the approach through an illustrative example, confirming its practical applicability.