A new approach to the sensor fault diagnosis of nonlinear systems is presented.
给出了一种非线性系统传感器的故障诊断方法。
Provides a sensor fault detection and diagnosis method based on statistical mathematics.
提出了一种基于统计数学的传感器故障诊断方法。
In this paper, a sensor fault identification method based on fuzzy logic for the satellite navigation system is presented.
给出了一种基于模糊逻辑的卫星导航系统传感器故障识别方法。
This paper discusses the methods of the sensor fault detection and signal reconfiguration using associated neural networks.
本文提出一种基于联合神经网络的传感器故障诊断和信号重构的方法。
This paper presented a new approach for sensor fault detection and isolation in a t s fuzzy system with Gaussian white noises.
提出了一种传感器故障诊断的新方法，适用于高斯白噪声下的TS模糊系统。
Residual generated by a new parity equation is sensitive only to one special sensor fault and one special actuator fault signal.
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。
The principal component analysis (PCA) approach for sensor fault detection, identification and reconstruction in HVAC system is presented.
提出了空调系统传感器故障检测、故障识别、故障重构的主成分分析方法。
This thesis presents principal component analysis (PCA) approach for sensor fault detection, identification and reconstruction in HVAC system.
本文提出了用主成分分析法(PCA)进行空调系统传感器故障检测与诊断的基本思想。
Fault sensitive feature is abstracted from high and low frequency of fault residual signal, by which sensor fault time, fault reason, fault degree can be diagnosed.
通过残差信号的故障高低频特性，提取故障敏感特征，实现了传感器故障时间、故障原因、故障程度的诊断。
Some faults such as amplifier offset, parameter changes, servo valve backlash and sensor fault are seeded in a virtual way by means of different switches in Simulink.
通过不同开关的动作来虚拟模拟常见的故障，诸如，放大器漂移、系统参数改变、伺服阀反冲以及传感器失灵等。
Wavelet transform was utilized to get coefficients of each scale. Based the coefficient matrix, principal component analysis model was established to diagnose sensor fault.
利用小波变换得到传感器信号在各个尺度上的系数，然后根据尺度系数矩阵建立主元分析模型进行传感器故障诊断。
Based on performance of real-time and closed loop feedback flight control system, a set of robust adaptive observers are set up for sensor fault isolation and reconfiguration.
考虑到飞行控制系统闭环反馈及实时的特性，设计了多个鲁棒自适应观测器用于传感器的故障隔离与重构。
This method can detect and diagnose sensor fault with fixed deviation by establishing linear equations utilizing the residual characteristics of energy conservation equation and solving them.
该方法利用能量守恒方程的残差特征建立线性方程组，通过求解方程来完成多个具有固定偏差的传感器故障的检测和诊断。
Aimed at solving the challenging problem of diagnosis for sensor bias and drift faults, a novel approach of sensor fault diagnosis based on generalized regression neural network (GRNN) is proposed.
针对诊断传感器偏置故障与漂移故障的难点问题，提出了一种基于广义回归神经网络(GRNN)的传感器故障诊断方法。
Sensor fault diagnosis based on neural network predictor is discussed.
基于神经网络预测的传感器故障诊断进行了讨论。
Sensor fault diagnosis based on neural network predictor is discussed.
基于神经网络预测的传感器故障诊断进行了讨论。
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