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Related Experiment Video

Updated: Mar 16, 2026

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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Sensor fault detection and isolation system for a condensation process.

M A López Castro1, R F Escobar2, L Torres3

  • 1Posgrado del Centro Nacional de Investigación y Desarrollo Tecnológico. Int. Internado Palmira S/N, Palmira C.P. 62490, Cuernavaca, Morelos, Mexico.

ISA Transactions
|August 25, 2016
PubMed
Summary

This study introduces a fault detection and isolation system for condensation processes using a nonlinear model. The system effectively identifies and locates sensor faults in outlet temperature measurements.

Keywords:
CondenserFault detection and isolationNonlinear high-gain observers

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Area of Science:

  • Process Control
  • Chemical Engineering
  • Sensor Technology

Background:

  • Condensation processes are critical in chemical engineering.
  • Sensor failures can disrupt process efficiency and safety.
  • Accurate monitoring requires robust fault detection and isolation (FDI).

Purpose of the Study:

  • To design and validate a sensor FDI system for a condensation process.
  • To develop a nonlinear model of the condenser.
  • To experimentally verify the performance of the nonlinear model and FDI system.

Main Methods:

  • Modeling the condenser using dynamic (differential equations) and thermodynamic (algebraic, empirical equations) principles.
  • Implementing a bank of two nonlinear high-gain observers for FDI.
  • Experimental validation of the condenser model and FDI system.

Main Results:

  • Successful detection, estimation, and isolation of faults in outlet temperature sensors.
  • Experimental validation confirmed the accuracy of the nonlinear condenser model.
  • The designed FDI system demonstrated effective fault management capabilities.

Conclusions:

  • The developed nonlinear model accurately represents the condensation process.
  • The nonlinear high-gain observer-based FDI system is effective for sensor fault management.
  • Experimental validation supports the practical applicability of the proposed FDI system in industrial settings.