Detecting faults in heterogeneous and dynamic systems using DSP and an agent-based architecture

O. Zaki, K. Brown, J.E. Fletcher, D. Lane

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This paper demonstrates the use of multi-agent systems (MAS), firstly as a modelling technique for dynamic physical systems and secondly as the basis for a generic and powerful diagnostic system, which can support heterogeneous distributed systems. First an overview of the diagnostic techniques including those offered by the two communities fault detection and isolation (FDI ) and DX (based on intelligent techniques) is given. The use of digital signal processing (DSP) as a significant technique for improved fault diagnosis is illustrated. A rule-based engine is used to control the behaviours of the agents and also as a tool for diagnosis. Finally, the integration of DSP agents and the rule-based engine into MAS is demonstrated using a real-life application, a class-AB amplifier (a power electronic circuit). It is shown that the integration of DSP agents and rules into MAS provides a powerful tool for prognosis and for detection of abrupt (short and open circuit) and incipient faults.
LanguageEnglish
Pages1112-1124
Number of pages13
JournalEngineering Applications of Artificial Intelligence
Volume20
Issue number8
DOIs
Publication statusPublished - Dec 2007

Fingerprint

Digital signal processing
Multi agent systems
Dynamical systems
Engines
Networks (circuits)
Power electronics
Fault detection
Failure analysis

Keywords

  • fault diagnostics
  • agent-based modelling
  • digital signal processing
  • agent-based architecture

Cite this

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Detecting faults in heterogeneous and dynamic systems using DSP and an agent-based architecture. / Zaki, O.; Brown, K.; Fletcher, J.E.; Lane, D.

In: Engineering Applications of Artificial Intelligence, Vol. 20, No. 8, 12.2007, p. 1112-1124.

Research output: Contribution to journalArticle

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