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Robust estimation of excitations in mechanical systems using M-estimators –Experimental applications

机译:使用M估计器对机械系统中的激励进行鲁棒性估计–实验应用

摘要

This second part of the study presents some experimentalapplications to mechanicalsystems in which the results of excitationestimation, obtained using traditional least squares and M-estimate, are compared.ududThe first case presented is a single input–multiple outputs system: a simple test-rig for the study of the vibrations of a two-degrees of freedom system is employed to identify the constraint displacement that causes the measured mass vibrations in presence of heavy noise.ududThe second case is a multiple inputs–multiple outputs system: a rotor test-rig is used to identify the positions, the amplitudes and the phases of two unbalances using the vibrations measured in the bearings. In this case, also an additional theoretical part is introduced about the basics of model-based identification in the frequency domain applied to rotor dynamics.ududThe last case is again a single input–multiple outputs system, but in an industrial application: experimental vibrations of a 320 MW steam turbo-generator are used to identify position and amount of a known balancing mass in an on-field real case.ududMoreover, whilst in the numerical examples presented in the first part the knowledge of the system was perfect, in these cases some uncertainties are present also in the system model.ududFinally, the paper introduces the use of the M-estimate technique to evaluate the adequacy the model of the system, by means of the analysis of the weights attributed to the measures as a function of the frequency of the excitation.
机译:研究的第二部分介绍了一些机械系统的实验应用,其中比较了使用传统最小二乘法和M估计获得的励磁估计结果。 ud ud第一种情况是单输入多输出系统:简单测试用于研究两自由度系统振动的装置-rig用来识别约束位移,该位移导致在重噪声存在下引起测得的质量振动。 ud ud第二种情况是多输入多输出系统:转子试验台用于利用轴承中测得的振动来识别两个不平衡的位置,振幅和相位。在这种情况下,还将介绍一个额外的理论部分,介绍基于频域的基于模型的识别原理,并将其应用于转子动力学。 ud ud最后一种情况还是单输入多输出系统,但在工业应用中:在现场实际情况下,使用320 MW蒸汽涡轮发电机的实验振动来确定已知平衡质量的位置和量。 ud ud此外,在第一部分介绍的数值示例中,系统知识是非常完美的,在这种情况下,系统模型中也会存在一些不确定性。 ud ud最后,本文通过权重分析介绍了使用M估计技术来评估系统模型的充分性归因于测量值与激励频率的函数关系。

著录项

  • 作者

    Pennacchi P.;

  • 作者单位
  • 年度 2008
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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