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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Butler-Purry, K.L. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Electr. Eng., Texas A&M Univ., College Station, TX (Butler-Purry, K.L.) |
| Abstract | Shipboard electric power systems (SPS) are dynamic, complex systems that require continuous monitoring and fast controls to operate in a reliable and secure state. A self-healing system for SPS was developed using common programming languages to arm SPS to monitor and respond to threats and natural system failures. This self-healing system includes features for activating control solutions before weapon hits or impending equipment failures, and after damage-induced or natural faults occur to continuously maintain system operation in an optimal state. This paper discusses a new implementation of the self-healing system using multi-agent system (MAS) technology. A potential implementation of one function in the self-healing system using MAS is presented. It is concluded that the characteristics of MAS provide a natural framework for developing a self-healing methodology for SPS that is automated and enhances fight-through survivability |
| File Size | 227016 |
| File Format | |
| ISBN | 1599751747 |
| DOI | 10.1109/ISAP.2005.1599264 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-11-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | ISAP |
| Subject Keyword | Condition monitoring Computer languages Multiagent systems Weapons Power system dynamics Optimal control Equipment failure Control systems Power systems Power system reliability |
| Content Type | Text |
| Resource Type | Article |
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