Sensor Fault Isolation in a Liquid Flow Process Using Kalman Filter

Nair Nanditha, K. V. Santhosh

Research output: Contribution to journalArticle

Abstract

Abstract: Investigation of the effect of sensor fault in liquid process loop and designing a suitable fault isolation technique using the Kalman filter is proposed in this work. The objective of the work is to design an observer to estimate the process parameters, so as to compare with sensor functionality and thus identify and isolate faults in sensor. Based on the derived system model, observer is designed using Kalman filter approach. The proposed system with observer is subject to test in simulation and validated using physical system. The designed observer was successfully able to isolate drift, short circuit and open circuit faults in sensor. Practical validation shows the system with observer was able to track the set point with the root mean square of 0.986% error, even with faulty sensor.

Original languageEnglish
Pages (from-to)310-319
Number of pages10
JournalAutomatic Control and Computer Sciences
Volume53
Issue number4
DOIs
Publication statusPublished - 01-07-2019

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Kalman filters
Sensors
Liquids
Short circuit currents
Networks (circuits)

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Signal Processing

Cite this

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Sensor Fault Isolation in a Liquid Flow Process Using Kalman Filter. / Nanditha, Nair; Santhosh, K. V.

In: Automatic Control and Computer Sciences, Vol. 53, No. 4, 01.07.2019, p. 310-319.

Research output: Contribution to journalArticle

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