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THE ELECTRIC ACTUATOR'S FAULT DIAGNOSIS BASED ON DATE FUSION TECHNOLOGY

机译:基于日期融合技术的电动执行器故障诊断

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摘要

The method based on data fusion fault diagnosis is put forward and the two-step fusion diagnosis model of neural network and D-S evidence theory is given against the complexity and multiplicity when the fault of control system happens; the fault detection laboratory platform is erected based on the data fusion through the analysis of the electric actuator's principle and typical faults, and on this basis, the fault of the electric actuator is diagnosed by the experiment and computer simulation. This method overcomes the uncertainty of the neural network fault diagnosis and improves the accuracy of system diagnosis, and the experiment result verified the method's validity.
机译:提出了一种基于数据融合故障诊断的方法,针对控制系统故障时的复杂性和多重性,提出了基于神经网络和D-S证据理论的两步融合诊断模型。通过对电动执行机构的原理和典型故障的分析,基于数据融合建立故障检测实验室平台,并在此基础上通过实验和计算机仿真对电动执行机构的故障进行诊断。该方法克服了神经网络故障诊断的不确定性,提高了系统诊断的准确性,实验结果验证了该方法的有效性。

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