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Harmonics elimination algorithm for operational modal analysis using random decrement technique

机译:使用随机减量技术的运行模态分析谐波消除算法

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Operational modal analysis (OMA) extracts modal parameters of a structure using their output response, during operation in general. OMA, when applied to mechanical engineering structures is often faced with the problem of harmonics present in the output response, and can cause erroneous modal extraction. This paper demonstrates for the first time that the random decrement (RD) method can be efficiently employed to eliminate the harmonics from the randomdec signatures. Further, the research work shows effective elimination of large amplitude harmonics also by proposing inclusion of additional random excitation. This obviously need not be recorded for analysis, as is the case with any other OMA method. The free decays obtained from RD have been used for system modal identification using eigen-system realization algorithm (ERA). The proposed harmonic elimination method has an advantage over previous methods in that it does not require the harmonic frequencies to be known and can be used for multiple harmonics, including periodic signals. The theory behind harmonic elimination is first developed and validated. The effectiveness of the method is demonstrated through a simulated study and then by experimental studies on a beam and a more complex F-shape structure, which resembles in shape to the skeleton of a drilling or milling machine tool. Cases with presence of single and multiple harmonics in the response are considered.
机译:通常,在操作过程中,操作模态分析(OMA)使用其输出响应来提取结构的模态参数。当将OMA应用于机械工程结构时,通常会面临输出响应中存在谐波的问题,并且可能导致错误的模态提取。本文首次证明了随机减量(RD)方法可以有效地消除来自randomdec签名的谐波。此外,研究工作还表明,通过提议包括其他随机激励,也可以有效消除大振幅谐波。显然,无需像其他任何OMA方法一样记录下来进行分析。使用本征系统实现算法(ERA),从RD获得的自由衰减已用于系统模式识别。所提出的谐波消除方法具有优于先前方法的优点,因为它不需要知道谐波频率,并且可以用于多个谐波,包括周期性信号。消除谐波的理论首先得到开发和验证。通过模拟研究,然后通过对梁和更复杂的F形结构进行实验研究,证明了该方法的有效性。F形结构的形状类似于钻孔或铣削机床的骨架。考虑在响应中存在一次谐波和多次谐波的情况。

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