提出一种将奇偶方程与参数估计相结合的多故障诊断方法。
A new method for multiple faults diagnosis of control systems is presented based on parity equation and parameter estimation.
给出了非线性系统的一种基于模糊奇偶方程的多故障诊断方法。
A new method for multiple faults diagnosis of nonlinear systems based on fuzzy parity equation was presented.
给出了基于全解耦奇偶方程的动态系统执行器故障的检测与识别方法。
A fault detection and identification method of actuators in dynamic systems based on fully - decoupled parity equations is presented in this paper.
引入T-S模型将全解耦奇偶方程推广到非线性系统中得到了模糊奇偶方程。
The T-S model is used to extend the fully-decoupled parity equations to fuzzy parity equations for nonlinear systems.
构造了一种新的奇偶方程，其产生的残差仅对一个传感器故障和一个执行器故障敏感。
Residual generated by a new parity equation is sensitive only to one special sensor fault and one special actuator fault signal.
结合FADS采用多个测压点冗余配置的特点，利用各传感器测量值之间存在的解析冗余关系，设计奇偶方程，实现对各个测压点故障传感器的有效检测。
The parity equation is designed based on redundancy relations among the measured values, and the FADS sensors fault detection is accomplished successfully by the parity equations.
结合FADS采用多个测压点冗余配置的特点，利用各传感器测量值之间存在的解析冗余关系，设计奇偶方程，实现对各个测压点故障传感器的有效检测。
The parity equation is designed based on redundancy relations among the measured values, and the FADS sensors fault detection is accomplished successfully by the parity equations.
应用推荐