Abstract
| Language | English |
|---|---|
| Pages | 1112-1124 |
| Number of pages | 13 |
| Journal | Engineering Applications of Artificial Intelligence |
| Volume | 20 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - Dec 2007 |
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Keywords
- fault diagnostics
- agent-based modelling
- digital signal processing
- agent-based architecture
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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 journal › Article
TY - JOUR
T1 - Detecting faults in heterogeneous and dynamic systems using DSP and an agent-based architecture
AU - Zaki, O.
AU - Brown, K.
AU - Fletcher, J.E.
AU - Lane, D.
PY - 2007/12
Y1 - 2007/12
N2 - 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.
AB - 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.
KW - fault diagnostics
KW - agent-based modelling
KW - digital signal processing
KW - agent-based architecture
U2 - 10.1016/j.engappai.2007.02.012
DO - 10.1016/j.engappai.2007.02.012
M3 - Article
VL - 20
SP - 1112
EP - 1124
JO - Engineering Applications of Artificial Intelligence
T2 - Engineering Applications of Artificial Intelligence
JF - Engineering Applications of Artificial Intelligence
SN - 0952-1976
IS - 8
ER -