摘要
本文针对一类较一般的多变量非线性时变随机系统,给出了一种全新的用于其参数偏差型故障的实时检测与诊断方法。这类故障包容了诸如部件参数的阶跃型和缓变型故障等,所给仿真实例证实了本文方法的有效性。
A systematic method for real-time detection, isolation and estimation of 'parameter bias' faults for a general class of nonlinear time-vary ng stochastic systems is proposed. The 'parameter bias' faults may be of jump or slow drift type faults representing several large classes of system faults, such as the jump/slow drift type faults of the components, etc. Numerical results for a ship propelling model illurstrate the effectiveness of the proposed method.
出处
《自动化学报》
EI
CSCD
北大核心
1993年第2期184-189,共6页
Acta Automatica Sinica
关键词
非线性系统
参数偏差
故障诊断
Nonlinear stochastic system
parameter bias
parameter estimation
fault detection
fault diagnoss.
