摘要
简要地综述了基于计算智能方法的动态系统故障诊断技术的最新进展。将计算智能方法与基于模型的方法结合,用于不确定非线性动态系统的故障诊断是这一领域新的发展趋势。重点分析了用于非线性系统故障诊断的基于状态/参数估计的计算智能方法,主要包括神经网络、模糊逻辑、遗传算法,探讨了提高诊断算法鲁棒性的途径。同时也对无模型的基于计算智能的故障诊断方法中的一些研究热点问题进行了分析。最后探讨了该领域今后的发展方向。
Latest developments are briefly reviewed, where there is a trend of integrating computational intelligence with model-based approaches to deal with the uncertainties and non-linearity met in the design of fault diagnosis systems. Attention is focused on the approaches for nonlinear systems based on state or parameter estimation using neural networks, fuzzy logic and genetic algorithms, which is followed by the discussions of robustness fault diagnosis techniques based on computational intelligence for uncertain systems. Besides these, some hot topics in fault diagnosis using model-free approaches based on computational intelligence are analyzed, and the research prospect is discussed in the end.
出处
《控制工程》
CSCD
2003年第5期385-390,共6页
Control Engineering of China
基金
国家自然科学基金(60025307
60234010)
国家973计划资助项目(2002CB312200)
关键词
动态系统
故障诊断
计算智能方法
神经网络
模糊逻辑
遗传算法
fault diagnosis
neural networks
fuzzy logic
genetic algorithms
state estimation
parameter estimation
robustness
model-free methods
