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Related Experiment Video

Updated: Jun 18, 2025

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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Intermediate parameter based distributed sensor fault-tolerant estimation for a class of nonlinear systems.

Chuan Yu1, Qingyu Su1, Jing Sun1

  • 1School of Automation Engineering, Northeast Electric Power University, Jilin, 132012, China.

ISA Transactions
|August 2, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel distributed fault-tolerant observer for nonlinear systems, effectively estimating system states and actuator faults even with sensor failures. The method ensures reliable state estimation by filtering unhealthy sensor signals using a health level index.

Keywords:
Distributed fault estimationFault-tolerant observerIntermediate variableRedundant sensors

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Area of Science:

  • Control Systems Engineering
  • Fault Diagnosis and Fault Tolerance
  • Nonlinear System Analysis

Background:

  • Nonlinear systems are susceptible to actuator and sensor faults, compromising their operational integrity.
  • Existing fault-tolerant observer designs often struggle with distributed systems and complex fault scenarios.

Purpose of the Study:

  • To develop a distributed fault-tolerant observer for nonlinear systems.
  • To accurately estimate system states and actuator faults in the presence of sensor and actuator failures.
  • To enhance system reliability through robust fault detection and compensation.

Main Methods:

  • Construction of a distributed observer network with intermediate parameters to address unobservable nodes.
  • Implementation of redundant sensors for each observer node to increase measurement samples.
  • Development of a novel algorithm for processing and classifying sensor signals based on a sensor health level index.
  • Filtering of unhealthy sensor signals and retention of healthy ones for estimation.

Main Results:

  • The proposed algorithm effectively filters faulty sensor signals, retaining only healthy ones.
  • Accurate estimation of system states and actuator faults is achieved using the filtered sensor data.
  • A case study validates the effectiveness of the developed distributed fault-tolerant observer.

Conclusions:

  • The designed distributed fault-tolerant observer provides a robust solution for state and actuator fault estimation in nonlinear systems.
  • The sensor health level index and filtering algorithm enhance fault tolerance against sensor failures.
  • The method offers improved reliability and performance for critical nonlinear systems.