摘要
针对基于未知输入观测器的诊断方法在诊断多故障时具有局限性,提出了一种基于奇异值分解的诊断方法,这种方法通过奇异值分解将不同故障对系统残差的影响进行分离,给出了多故障检测与分离的方法,仿真证明这种方法对于多故障诊断有很好的效果。
The limitation of fault diagnosis technolo-gy based on unknown input observer (UIO) had been ex-plored in the process of multi--fault diagnosis. In orderto solve this problem, a new method based on singularvalue decomposition (SVD) was put forward in this pa-per. It can remove the influences from residual of speci-fied faults through SVD, a fault isolation method is giv-en. It is proved that the proposed method is very effec-tive to multi--fault detection and isolation (FDI) throughdigital simulations.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2003年第24期2090-2093,共4页
China Mechanical Engineering
基金
国家863高技术研究发展计划资助项目(2002AA721063)
关键词
未知输入观测器
奇异值分解
故障检测
多故障诊断
unknown input observer
singular value decomposition
fault detection
multi-fault diagnosis
