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首页> 外文期刊>International Journal of Condition Monitoring >(s2)Improved cepstral techniques for operational modal analysis
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(s2)Improved cepstral techniques for operational modal analysis

机译:(s2)改善cepstral操作的技术模态分析

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All vibration-based machine condition monitoring systems use response signals, which are a mixture of forcing function and transfer function effects, and often an assumption is made as to whether a change is due to one or the other. Operational modal analysis (OMA) is one way of determiningthe dynamic properties of a structure or machine from the response signals only, while in operation, and thus provides the potential to separate them from the forcing functions. It then becomes a powerful machine diagnostic tool. Forcing functions and transfer functions are additive in thecepstrum, at least for single-input, multiple-output (SIMO) situations, and, moreover, they are often located in disparate regions in the cepstrum, allowing them to be separated. In recent years, new cepstral analysis methods have been developed to assist OMA in two ways: as a preprocessingtool to enhance the modal properties, remove other effects, such as forcing functions (often at discrete frequencies), and simplify the application of standard OMA techniques; and to perform OMA by fitting a pole/zero model of the structural dynamic properties to the enhanced response data.The current paper shows the success of both of these methods in the case of simulated signals from a variable speed gearbox, by vastly reducing the effects of the very complicated forcing function. An extension from earlier proposed approaches is the determination of zeros (normally maskedby noise in response signals) using transmissibilities, measured between pairs of responses and the noise being reduced by averaging. These new results confirm that limited, and only partially successful, earlier results were contaminated by non-linearities in the support of the test object.
机译:所有vibration-based机器状态监测系统使用响应信号,这是一个混合物强制函数和传递函数影响,通常一个假设的是否改变是由于一个或另一个。运行模态分析(OMA)的一种方式determiningthe动态属性的结构或机器从响应信号,在操作,从而提供了可能分开的强制功能。成为一个强大的机器的诊断工具。强迫函数和传递函数添加剂thecepstrum,至少单输入多输出(极点)情况下,此外,他们通常都是位于倒频谱不同的地区,允许他们被分离。分析方法开发了帮助OMA在两个方面:作为preprocessingtool提高模态属性,删除效果,比如强迫函数(通常在离散频率)和简化应用标准的OMA技术;执行OMA的钢管/零模型拟合结构动态属性增强响应数据。这两种方法的模拟信号从一个变速齿轮箱,大大减少的影响非常复杂迫使功能。提出的方法是零的决心(通常maskedby噪声响应信号)使用传播性,对之间的测量响应和噪声降低平均。有限,只有部分成功结果受到非线性测试对象的支持。

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