本文提出了故障检测与分离的广义一致性算子法的一般形式。
This paper presents a general form of the generalized parity-operators approach to failure detection and isolation.
通过适当选择满足一些约束的自由参数，仅使用单一观测器实现了鲁棒故障检测与分离设计。
By appropriately choosing the free parameter satisfying some constraints, the robust fault detection and isolation scheme is realized by employing only one observer-based residual generator.
针对具有未知干扰输入的多变量线性系统，提出一种鲁棒故障检测与分离的完全参数化方法。
A parametric observer-based approach for robust fault detection and isolation in multivariable linear systems with unknown disturbances is proposed.
针对具有未知干扰输入的多变量线性系统，提出一种鲁棒故障检测与分离的完全参数化方法。
A new parametric observer-based approach for robust fault detection and isolation in linear time-delay systems with unknown disturbances is proposed.
针对一类具有未知干扰输入的时滞线性系统，提出一种鲁棒故障检测与分离的完全参数化方法。
A new parametric observer-based approach for robust fault detection and isolation in linear time-delay systems with unknown disturbances is proposed.
针对一类具有未知干扰输入的时滞线性系统，提出一种鲁棒故障检测与分离的完全参数化方法。
A parametric observer-based approach for robust fault detection and isolation in multivariable linear systems with unknown disturbances is proposed.
针对一类具有模型不确定性且状态部分可测的非线性系统，提出了一种基于鲁棒自适应技术的传感器偏差故障检测与分离方法。
This paper is concerned with the problem of robust fault detection for a class of discrete-time systems with norm-bounded uncertainties and time delays in state.
深入研究了基于解析冗余技术的传感器故障检测、分离与辨识方法，并用实验评价该方法的性能。
The method of detection, isolation and identification of sensor faults based on analytical redundancy is studied deeply. And the performance of the method using examples is evaluated.
从残差中提取故障信息，实现推力器故障的检测与分离。提出采用模糊诊断方法分析残差信号，克服了阈值判断法误报率高的弱点。
Fault information was obtained by analyzing residuals with fuzzy residual evaluation, which overcome a high rate of misinformation associated with the threshold evaluation method.
从残差中提取故障信息，实现推力器故障的检测与分离。提出采用模糊诊断方法分析残差信号，克服了阈值判断法误报率高的弱点。
Fault information was obtained by analyzing residuals with fuzzy residual evaluation, which overcome a high rate of misinformation associated with the threshold evaluation method.
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