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自适应模糊系统在大坝安全监测故障诊断中的应用
引用本文:聂学军,顾冲时,严良平,罗龙洪.自适应模糊系统在大坝安全监测故障诊断中的应用[J].河海大学学报(自然科学版),2005,33(4):395-398.
作者姓名:聂学军  顾冲时  严良平  罗龙洪
作者单位:河海大学水利水电工程学院,江苏,南京,210098;江苏省水利工程规划办公室,江苏,南京,210029
基金项目:国家“973”计划资助项目(2002CB412707),国家自然科学基金重点资助项目(50139030),教育部跨世纪优秀人才培养计划基金资助项目(2003512643)
摘    要:为提高大坝安全自动化监测的稳定性与可靠性,提出一种基于模拟退火的自适应模糊系统(AFS:Adaptive Fuzzy System)的学习算法,并根据此算法建立了大坝安全监测非线性监测器模型,同时利用该模型构造了大坝安全自动化监测故障自诊断系统.实例表明,该系统既具有模拟退火算法(SAA:Sireulated Annealing Algorithm)的全局优化搜索能力,又充分发挥了AFS的非线性逼近能力,并能够较好地实现故障的在线诊断和实时隔离.

关 键 词:自适应模糊系统  模拟退火  大坝  故障诊断
文章编号:1000-1980(2005)04-0395-04
修稿时间:2005/8/18 0:00:00

Application of adaptive fuzzy system to fault auto-diagnosis in dam safety monitoring
NIE Xue-jun,GU Chong-shi,YAN Liang-ping,LUO Long-hong.Application of adaptive fuzzy system to fault auto-diagnosis in dam safety monitoring[J].Journal of Hohai University (Natural Sciences ),2005,33(4):395-398.
Authors:NIE Xue-jun  GU Chong-shi  YAN Liang-ping  LUO Long-hong
Institution:NIE Xue-jun~1,GU Chong-shi~1,YAN Liang-ping~1,LUO Long-hong~2
Abstract:A kind of learning algorithm of adaptive fuzzy system (AFS) based on the simulated annealing algorithm (SAA) was presented to improve the stability and reliability of dam safety automatic monitoring. According to the algorithm, a non-linear monitor model and a fault auto-diagnosis system for dam safety monitoring were developed. A case study shows that the present system, just as SAA, brings the nonlinear fitting of AFS into full play, and has the capacity of global optimal search, realizing the on-line diagnosis and real-time separation of faults effectively.
Keywords:
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