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An Effective Method for the Identification of Support Features in Multi-supported Systems

机译:一种有效的方法,用于识别多支持系统中的支持特征

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The mechanical properties of supports in a mechanical system strongly affect its dynamic behavior under real operating conditions. This work presents a new method for identifying the dynamical characteristics of local supports which has been developed along the lines of the work by Ozguven (Mech Syst Signal Process 4:53-63, 1990) and Debut et al. (Proceeding of the 19th international congress on sound and vibration, Vilnius, Lithuania, 2012), which combines measured frequency transfer functions and techniques from structural modifications. As typical for inverse problem, the noise in the frequency transfer functions lead to faulty identifications, so that regularization techniques have been implemented to mitigate noise amplification in the inverse problem. The proposed approach has been then numerically tested on a multi-supported structure, which can be seen as an idealized electricity generator rotor shaft. The results are satisfactory for noise-free data as well as under realistic noise levels.
机译:机械系统中支撑件的机械性能强烈影响其在实际操作条件下的动态行为。这项工作提出了一种新的方法,用于识别沿着OzGuven(MECH SYST信号过程4:53-63,1990)和亮相等,沿着工作线开发的本地支持的动态特性的新方法。 (第19届国际声音和振动大会,维尔纽斯,立陶宛,2012年),将测量的频率传递函数和技术从结构修改中结合起来。作为典型的逆问题,频率传递函数中的噪声导致错误的识别,因此已经实现了正规化技术以减轻逆问题中的噪声放大。然后,在多支撑结构上进行了数字测试了所提出的方法,该结构可以被视为理想化的电力发电机转子轴。结果对于无噪声数据以及在现实的噪声水平下,结果令人满意。

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