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Model-Based Fault Diagnosis Approach for Rotor System with Unidentified Supporting Parameters

机译:基于模型的转子系统故障诊断方法,具有未识别的支持参数

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The model based diagnosis method can detect both the fault location and the fault extent of the rotating machinery at the same time as it can combine the dynamics and fault diagnosis method together. However, the modal test of the supporting part is necessary when using the existing model based method, and the precision of the modal test results make a strong impact on the diagnosis results. In order to improve this case, an improved model based diagnosis method is presented herein by combining the fixed-interface modal synthesis method with the traditional model based diagnosis method. The DOF of the unidentified parameter due to the supporting parts are partitioned to interface DOF, and the displacement information of the supporting parts can be measured by the mounted sensors. Therefore, the model based diagnosis method can be carried out by only using the parameters of the rotor without considering the effects from the supporting, which can greatly improve the diagnosis precision and efficiency. This method is fit for the rotor systems with unidentified supporting parameter, and the rotor systems with unknown nonlinear supporting parameter. Both the numerical simulation results and the experiment results in the example proved the efficiency of this method.
机译:基于模型的诊断方法可以同时检测旋转机器的故障位置和故障程度,因为它可以将动态和故障诊断方法组合在一起。然而,当使用现有的基于模型的方法时,必须对支撑部分的模态测试,并且模态测试结果的精度对诊断结果产生强烈影响。为了改善这种情况,通过将固定接口模态综合方法与基于传统模型的诊断方法组合来呈现改进的基于模型的诊断方法。由于支撑部件的未识别参数的DOF被划分为接口DOF,并且可以通过安装的传感器测量支撑部的位移信息。因此,基于模型的诊断方法可以仅使用转子的参数来执行,而不考虑支撑的效果,这可以大大提高诊断精度和效率。该方法适用于具有未识别的支撑参数的转子系统,以及具有未知非线性支撑参数的转子系统。数值模拟结果和实验结果都证明了该方法的效率。

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