Fault detection, diagnostics, and prognostics: Software agent solutions

被引:46
|
作者
Liu, Li [1 ]
Logan, Kevin P.
Cartes, David A.
Srivastava, Sanjeev K.
机构
[1] Florida State Univ, Ctr Adv Power Syst, Tallahassee, FL 32310 USA
[2] MACSEA Ltd, Stonington, CT 06378 USA
关键词
diagnostics; electric ship; fault detection; multiagent system (MAS); prognostics;
D O I
10.1109/TVT.2007.897219
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Fault diagnosis and prognosis are important tools for the reliability, availability, and survivability of navy all-electric ships (AES). Extending the fault detection and diagnosis into predictive maintenance increases the value of this technology. The traditional diagnosis can be viewed as a single diagnostic agent having a model of the component or the whole system to be diagnosed. This becomes inadequate when the components or system become large, complex, and even distributed as on navy electric ships. For such systems, the software multiagents may offer a solution. A key benefit of software agents is their ability to automatically perform complex tasks in place of human operators. After briefly reviewing traditional fault diagnosis and software agent technologies, this paper discusses how these technologies can be used to support the drastic manning reduction requirements for future navy ships. Examples are given on the existing naval applications and research on detection, diagnostic, and prognostic software agents. Current work on a multiagent system for shipboard power systems is presented as an example of system-level application.
引用
收藏
页码:1613 / 1622
页数:10
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