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基于模糊 ARTMAP 网络的速率
引用本文:李冠华,许化龙,廖瑛,刘根旺. 基于模糊 ARTMAP 网络的速率[J]. 测试技术学报, 2001, 15(2): 99-104
作者姓名:李冠华  许化龙  廖瑛  刘根旺
作者单位:1. 二炮工程学院研究生二队,
2. 国防科技大学,
摘    要:目的介绍了一种速率陀螺故障检测与诊断的方法.方法通过统计检验滑动窗口的残差,再采用模糊ARTMAP网络直接对模型参数进行分类.结果该方法不但能正确诊断出已知的速率陀螺故障,还能检测出未知的故障.结论该方法避免了一般前向网络在分类中的不足,对可能发生的故障能进行有效地检测与诊断,且不用求解系统的物理参数.

关 键 词:模型 ARTMAP   故障检测与诊断   参数估计  速率陀螺
文章编号:1008-6374(2001)02-099-06
修稿时间:2000-09-04

The Rate Gyroscope Fault Detection and DiagnoseBased on ARTMAP Network
LI Guan hua+,XU Hua long+,LIAO Ying+,LIU Gen wang+. The Rate Gyroscope Fault Detection and DiagnoseBased on ARTMAP Network[J]. Journal of Test and Measurement Techol, 2001, 15(2): 99-104
Authors:LI Guan hua+  XU Hua long+  LIAO Ying+  LIU Gen wang+
Affiliation:LI Guan hua+1,XU Hua long+1,LIAO Ying+2,LIU Gen wang+1
Abstract:Aim To introduce a method for the fault detection and diagnose of rate gyroscope. Metods Through the statistic test in sliding window, Fuzzy ARTMAP neural network is adopted to classify model parameters directly. Results This method can diagnose the fault correctly not only for the known fault but also for the unknown fault of rate gyroscope. Conclusion The method in this paper avoids the insufficient of other forward networks in sorting, It has the ability of detecing unknown faults and has no necessary to get te physical parameters of system.
Keywords:Fuzzy ARTMAP  Fault Detection and Diagnose  Parameter Estimation  Rate gyroscope
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