• 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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  • 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。

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  • 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。

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  • The subject is very meaningful to perfect sensor fault diagnosis methods in Air-conditioning system.

    该方法对于完善空调系统传感器故障诊断方法具有特定意义。

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  • Sensor fault detection is accomplished by integrating the optimal estimation and fault detection logic.

    综合自联想网络的最优估计与故障诊断,自动区分估计误差和传感器故障。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • Based upon the model established here, a square prediction error is used to detect that the sensor fault for SPE (Principle component analysis) is sensitive to the sensor fault.

    在所建立模型的基础上,根据平方预报误差(SPE)对传感器故障敏感的特点利用其进行传感器的故障检测。

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  • Based on the unknown input observers and the concept of equivalent control, this paper considers the problem of robust fault diagnosis of sensor faults in a class of nonlinear systems.

    基于未知输入观测器设计和等价控制的概念,讨论了一类非线性系统传感器故障的鲁棒故障诊断问题。

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  • 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。

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  • 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。

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  • This paper presents the fault tolerant strategy of valve management under the failure of valve opening sensor via signal reconstruction.

    本文基于解析冗余原理,提出用信号重构的方法来实现单个阀位传感器故障下的容错阀门管理。

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  • The paper presented an idea of applying information fusion technology based on RBF network in fault diagnosis of gas sensor.

    文章提出了将基于RBF网络的信息融合技术应用于瓦斯传感器故障诊断的思想。

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  • A new fault detection method using a fusion state propagator to predict the measurement of each local sensor is presented to detect sensor failures for the federated filter.

    基于融合状态递推器对各个子传感器的量测预报,本文提出了一种新的联邦滤波器传感器故障检测方法。

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  • Considering a class of networked control systems with long time delays, the fault detection is carried out supposing that the output delays are present between the sensor and the controller.

    考虑一类具有长时延的网络控制系统,假定其传感器到控制器之间存在输出时延,对其进行故障检测研究。

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  • The reason that the residual test method based on Kalman filter is insensitive to sensor soft fault detection is analyzed.

    分析了基于卡尔曼滤波器的残差检验法对传感器缓变故障检测的不敏感性原因。

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  • The fault of the wheel-speed sensor is one of common faults of vehicle ABS.

    轮速传感器故障是车辆ABS的常见故障之一。

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  • When the radar transmitter faults are diagnosed using single sensor, the source of fault information is limited, the accuracy and reliability of fault diagnosis are low.

    利用单一信息对雷达发射设备进行故障检测和诊断时,可靠性和准确性低。

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  • Then, the STF is adopted to estimate process states and sensor bias, the estimated sensor bias is used to drive a fault detection logic.

    然后采用强跟踪滤波器估计过程状态及传感器偏差,传感器偏差估计用于驱动一个故障检测逻辑。

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  • A design of fault detection observer based on optimal sensor location is proposed.

    提出一种基于传感器最优配置的故障检测观测器设计方法。

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  • The on-line fault diagnosis of engine was conducted using the sensor sampling data as the inputs of ANNs and the faults code as the output.

    以传感器采样值作为神经网络的输入,故障代码作为输出,对电控汽油机进行在线故障诊断。

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  • The on-line fault diagnosis of engine was conducted using the sensor sampling data as the inputs of ANNs and the faults code as the output.

    以传感器采样值作为神经网络的输入,故障代码作为输出,对电控汽油机进行在线故障诊断。

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