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Fault Types01:18

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When analyzing a single line-to-ground fault from phase A to ground at a three-phase bus, it is important to consider the fault impedance. This impedance is zero for a bolted fault, equal to the arc impedance for an arcing fault, and represents the total fault impedance for a transmission-line insulator flashover. To derive sequence and phase currents, fault conditions are translated from the phase domain to the sequence domain.
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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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Research on Adaptive Multi-Source Information Fault-Tolerant Navigation Method Based on No-Reference System

Ling Zhang1,2, Yuchen Cui1,2, Zhi Xiong3,4

  • 1College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China.

Sensors (Basel, Switzerland)
|July 4, 2019
PubMed
Summary

This study introduces a novel fault-tolerant navigation method for micro air vehicles (MAVs) using a reference-free system. It enhances sensor reliability and autonomous decision-making in complex environments.

Keywords:
MAVfault detectionfault toleranceno-reference system

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Area of Science:

  • Navigation Systems Engineering
  • Fault-Tolerant Control Systems
  • Sensor Fusion and Signal Processing

Background:

  • Existing fault-tolerant navigation systems often assume the inertial navigation system is fault-free, limiting fault detection capabilities.
  • Microelectromechanical systems (MEMS) inertial navigation systems are susceptible to environmental factors like vibration and temperature, impacting performance and reliability.
  • The failure of MEMS inertial devices can compromise navigation accuracy and system autonomy.

Purpose of the Study:

  • To develop a reliable and autonomous fault-tolerant navigation method for micro air vehicles (MAVs) using multi-source, heterogeneous navigation information.
  • To address the limitations of existing reference-based fault-tolerant systems by proposing a no-reference system approach.
  • To enhance the rapid and accurate intelligent decision-making capabilities of MAVs.

Main Methods:

  • A reference-free fault detection method is proposed for the sensor sub-system of a custom MAV.
  • Improvements are made to the residual chi-square detection method, introducing an interactive residual fault detection method with distributed states.
  • A self-regulation filter fusion and fault detection method is designed, considering the weight distribution scheme for reference-free systems.

Main Results:

  • The proposed method effectively detects and isolates faults in navigation sensors without relying on a fault-free reference system.
  • The interactive residual fault detection method demonstrates improved performance in identifying sensor faults.
  • The self-regulation filter fusion enhances the overall reliability and accuracy of navigation information.

Conclusions:

  • The developed reference-free fault-tolerant navigation method significantly improves the reliability and autonomy of MAVs.
  • This approach provides a robust solution for navigation sensor fault diagnosis in complex and unpredictable environments.
  • The study contributes to advancing intelligent decision-making schemes for autonomous aerial systems.