Real-Time Detection and Diagnosis of "Parameter Bias" Faults for Nonlinear Systems
一类非线性系统参数偏差型故障的实时检测与诊断

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.