摘要
本文讨论故障诊断的启发式参数估计法.文中首先讨论了用知识选择待估模型参数,从而减少模型参数估计计算量的问题.接着讨论了在物理意义(体现为知识)下求解方程 p=f^(-1)(θ),从而减小 p 解范围,加强故障定位能力的问题.文末给出了一个用以说明所提方法的仿真算例.
A heuristic parameter estimation method for fault diagnosis is presented in this paper.Through applyingknowledge to diagnosis process,the performance of traditional parameter estimation method is improved in thefollowing two aspects:(1)The calculation labor for estimating the model parameters is reduced since theparameters estimated are reasonably limited to a small set.(2)The fault localization is more accurate as the equa-tions p=f^1(0) are solved under the guidance of the physical meanings(expressed as knowledge) of the system.Atthe last of the paper a simple illustrative example is given.
出处
《信息与控制》
CSCD
北大核心
1990年第6期24-29,共6页
Information and Control
关键词
故障诊断
启发式
参数估计
fault diagnosis
parameter estimation
knowledge-based systems
