Hierarchical distributed multi-Agent system of hydropower plant predictive maintenance

被引：0
|
作者：
Meng, Anbo [1 ]
Liu, Yongqian [2 ]
Fu, Chuang [3 ]
机构：
[1] Guangdong University of Technology, Guangzhou 510006, China
[2] Renewable Energy Faculty, North China Electric Power University, Beijing 102206, China
[3] Technical Center of North China Power Grid, Guangzhou 510623, China
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2010年 / 30卷 / 11期
关键词：
Middleware - Hydroelectric power - Data handling - Behavioral research - Data acquisition - Decision making - Hydraulic machinery - Decision theory - Hydroelectric power plants - Silicate minerals - Maintenance - Hydraulic motors;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A hierarchical distributed multi-Agent model of hydropower plant predictive maintenance based on multi-Agent theory is proposed, which consists of four layers: data acquisition, data processing, diagnosis & prognosis and maintenance decision-making. A practical structural model is designed for the maintenance Agent, including five elements: belief, capability, behavior queue, behavior dispatch, and message box. The communication among multiple Agents and their cooperation are discussed. An implementation reference model based on multi-Agent middleware JADE is proposed, with which, a prototype of multi-Agent maintenance system for the electro-hydraulic servomechanism of water turbine governing system is established. Its rationality and feasibility are verified.
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页码：105 / 109
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