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.
Original languageEnglish
Pages (from-to)1112-1124
Number of pages13
JournalEngineering Applications of Artificial Intelligence
Volume20
Issue number8
DOIs
Publication statusPublished - Dec 2007

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Keywords

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

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