COMMAS (COndition Monitoring Multi-Agent System)

Research output: Contribution to journalArticle

Abstract

The application of intelligent systems for data interpretation and condition monitoring is an advancing field of research. In recent years autonomous intelligent agents and multi-agent systems have gained much attention within different real time applications. The novel idea of COMMAS (COndition Monitoring Multi-Agent System) introduces a hierarchical decentralised multi-agent architecture developed for data interpretation and condition monitoring applications. By definition condition monitoring is concerned with detecting and distinguishing faults occurring in plant that is being monitored [1]; therefore the early diagnosis and identification of faults has a number of benefits (improvement in the plant economy, reduction in operational costs, improving the level of safety etc). A variety of intelligent techniques have been applied in plant monitoring, which resulted in the development of centralised approaches for condition monitoring, e.g., Knowledge Based Systems (KBS) [2], Model Based Reasoning (MBR) Systems [3], Case Based Reasoning (CBR) Systems [4], Artificial Neural Networks (ANN) [5] etc. These approaches tend to be fixed, so they lack flexibility and extensibility. Moving to an agent-based architecture allows simultaneous complex tasks to be performed in real-time; better handling of inaccurate data is achieved and each agent can be independently updated.
LanguageEnglish
Pages279-282
Number of pages3
JournalAutonomous Agents and Multi-Agent Systems
Volume4
Issue number3
DOIs
Publication statusPublished - 2001

Fingerprint

Condition monitoring
Multi agent systems
Case based reasoning
Intelligent agents
Knowledge based systems
Intelligent systems
Neural networks
Monitoring
Costs

Keywords

  • multi-agent systems
  • power plant
  • knowledge based systems
  • intelligent agents

Cite this

@article{edf7c2059bb6483091997a8f3e890cef,
title = "COMMAS (COndition Monitoring Multi-Agent System)",
abstract = "The application of intelligent systems for data interpretation and condition monitoring is an advancing field of research. In recent years autonomous intelligent agents and multi-agent systems have gained much attention within different real time applications. The novel idea of COMMAS (COndition Monitoring Multi-Agent System) introduces a hierarchical decentralised multi-agent architecture developed for data interpretation and condition monitoring applications. By definition condition monitoring is concerned with detecting and distinguishing faults occurring in plant that is being monitored [1]; therefore the early diagnosis and identification of faults has a number of benefits (improvement in the plant economy, reduction in operational costs, improving the level of safety etc). A variety of intelligent techniques have been applied in plant monitoring, which resulted in the development of centralised approaches for condition monitoring, e.g., Knowledge Based Systems (KBS) [2], Model Based Reasoning (MBR) Systems [3], Case Based Reasoning (CBR) Systems [4], Artificial Neural Networks (ANN) [5] etc. These approaches tend to be fixed, so they lack flexibility and extensibility. Moving to an agent-based architecture allows simultaneous complex tasks to be performed in real-time; better handling of inaccurate data is achieved and each agent can be independently updated.",
keywords = "multi-agent systems, power plant, knowledge based systems, intelligent agents",
author = "E. Mangina and S.D.J. McArthur and J.R. McDonald",
year = "2001",
doi = "10.1023/A:1011499912015",
language = "English",
volume = "4",
pages = "279--282",
journal = "Autonomous Agents and Multi-Agent Systems",
issn = "1387-2532",
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}

COMMAS (COndition Monitoring Multi-Agent System). / Mangina, E.; McArthur, S.D.J.; McDonald, J.R.

In: Autonomous Agents and Multi-Agent Systems, Vol. 4, No. 3, 2001, p. 279-282.

Research output: Contribution to journalArticle

TY - JOUR

T1 - COMMAS (COndition Monitoring Multi-Agent System)

AU - Mangina, E.

AU - McArthur, S.D.J.

AU - McDonald, J.R.

PY - 2001

Y1 - 2001

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KW - knowledge based systems

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