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基于核回归区间模型的电液位置伺服系统故障检测

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针对电液位置伺服系统在运行过程中存在非线性、干扰性、复杂性以及参数不确定性等问题,提出了基于核回归区间模型的电液位置伺服系统故障检测方法.该方法利用反映系统诸多不确定性的无故障可测输入-输出数据,建立能控制核回归模型精度、又能平衡该模型结构复杂性的区间模型,用于判断电液位置伺服系统的实际输出是否越过系统健康运行时的区间输出,进而实现故障检测.该方法由于考虑了基于区间的动态阈值对故障进行检测,消除了传统的固定阈值易引起故障误报现象,所以具有一定的自适应性能力.实验论证了所提出的故障检测方法,可用于电液位置伺服系统故障的实时检测.
Fault Detection for Electro Hydraulic Position Servo System Based on Kernel Regression Interval Model
For nonlinearity,disturbance,complexity and parameter uncertainty in the electro hydraulic position servo system,a fault detection method for electro-hydraulic position servo system based on kernel regression interval model was proposed.The method made full use of the measurable input-output data to construct interval model,where those data was capable of reflecting the uncertainties of electro-hydraulic position servo system in the absence of failure,the accuracy and structure complexity of the constructed interval model could be trade-off.The interval model was used to judge whether the actual output of the electro hydraulic position servo system exceeded the interval output to realize fault detection.Because this method considered the dynamic threshold based on interval for fault detection,it could eliminate the false alarm of fixed threshold and was capable of improving the adaptability in detecting fault.The experimental examples were investigated to demonstrate the effectiveness of the proposed fault detection method,which could be applied for the real-time fault detection of the electro-hydraulic position servo system.

fault detectionkernel regression interval modelelectro-hydraulic position servo systemdynamic threshold

王兴涛、刘小雍

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遵义师范学院 工学院,贵州 遵义 563006

故障检测 核回归区间模型 电液位置伺服系统 动态阈值

贵州省科技厅项目贵州省教育厅青年项目遵义市校联合项目区校联合项目遵义师范学院学术新苗培养项目遵义师范学院博士科研项目遵义师范学院产学研项目

黔科合基础[2018]1179号黔教技[2022]312号遵义市科合HZ字2022132号遵红科合师字[2022]09号遵师XM[2020]1号-10遵师BS[2022]01号遵师CXY[2022]01号

2024

信阳师范学院学报(自然科学版)
信阳师范学院

信阳师范学院学报(自然科学版)

CSTPCD
影响因子:0.446
ISSN:1003-0972
年,卷(期):2024.37(2)
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