摘要
提出了一种传感器故障诊断的新方法 ,适用于高斯白噪声下的T S模糊系统 .利用基于T S模糊模型的卡尔曼滤波器估计系统状态 ,系统的残差即测量输出与估计输出之差被用来检测和隔离传感器故障 ,并且推导了传感器故障隔离的充分条件 .
This paper presented a new approach for sensor fault detection and isolation in a T S fuzzy system with Gaussian white noises. The state of the system was estimated through a Kalman filtering based on T S fuzzy model. The residual or the difference between the measured output and the estimated one was used to detect and isolate sensors faults and the sufficient isolation condition was derived. The approach was illustrated by an example of the induction motor in a railway traction system.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2003年第1期10-12,共3页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目 (6 0 2 74 0 14 )
智能制造技术教育部重点实验室开放基金资助项目
