摘要
以SISO过程输出环节脉冲型故障为研究对象 ,建立了过程轨线具有容错功能的滑动容错拟合算法 .以滑动容错拟合算法为基础 ,构造了一组适用于多故障过程脉冲型故障的在线检测方法 ,以及故障幅度的统计辨识算法 .通过理论分析和仿真计算 ,证实了本文滑动容错拟合和故障在线诊断方法的有效性 .
A sliding fault tolerant (SFT) algorithm is built for fitting trajectories of a SISO process when some pulse type faults arise from output components of the process. Based on the SFT algorithm, a series of practical program is given to online detect pulse type faults in process and to identify magnitudes of these faults. Simulation results show that these new methods are efficient.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2001年第3期427-432,共6页
Control Theory & Applications
基金
supportedbytheVisitingScholarFoundationoftheStateKeyLaboratoryofManufacturingSystemEngineering ( 2 0 0 0 -12 3 ) .
关键词
容错拟合
故障检测
故障幅度辨识
SISO
fault tolerant fit
fault detection
fault magnitude identification
