Integrated approach to reliable leakage diagnosis

Rajamani Doraiswami, Lahouari Cheded, Haris M. Khalid

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A generic and reliable diagnosis framework, for incipient leakages is proposed using an integrated approach combining two entirely different model-free (MF) and model-based (MB) schemes. The primary objective of this vital combination is to ensure a timely monitoring of the critical information about the presence/absence of leakages, and an accurate unfolding-in-time of the complete leakage status. Whereas the model-free approach provides the user with the possibility of an early incipient fault detection via limit checks and some form of knowledge-based (KB) analysis, the modelbased approach allows for a Kalman filter (KF)-based detection followed by a parameter identification-based fault isolation. As such the MB approach will provide a confirmation of the detection of any fault flagged by the MF approach. A new model order selection scheme is proposed here to provide a reliable model. Two vital advantages accruing from this integrated approach are a substantial reduction in false alarms and an increased probability of leakage detection. The proposed integrated approach is tested on a physical fluid system, exemplified by a benchmarked two-tank system.

Original languageEnglish
Title of host publicationUKACC International Conference on CONTROL 2010
Pages289-294
Number of pages6
Edition4
DOIs
StatePublished - 2010

Publication series

NameIET Seminar Digest
Number4
Volume2010

Keywords

  • Fault diagnosis
  • Kalman filter
  • Knowledge base
  • Leakage fault
  • Parameter identification

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Integrated approach to reliable leakage diagnosis'. Together they form a unique fingerprint.

Cite this