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Best Practices for Using Order-Based Modal Analysis for Industrial Applications

机译:基于订单的工业应用模型分析的最佳实践

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The Order-Based Modal Analysis (OBMA) technique shows to be very powerful for identifying the modal parameters in operational conditions in case of rotating machineries during transient operations. The main idea behind the method is that instead of estimating the spectra and apply Operational Modal Analysis (OMA) by using them, the so-called orders can be extracted and used as input for the OMA technique. It can be assumed that the measured responses are mainly caused by the rotational excitation. In this case, run-up and coast-down events can be assimilated to multi-sine sweep excitation in the frequency band of interest. Several studies have been performed to identify the best practice for OBMA both in terms of Order Tracking (OT) techniques and OMA techniques. Based on the boundary conditions, on the structure under-test and on the effective operational conditions a technique can be more powerful than another one. Basically there are two fundamental steps: a very good measurement of the tachometer signal and the correct extraction of the orders, both in amplitude and phase. For the first step several alternatives are possible. The sensors to be used for measuring the rotational speed are depending from both the application and the objective of the study. For this reason, several sensors can be found in the market with a huge variety of costs and performances. The best sensor can then be selected for each individual application based on the type of analysis, the accessibility of the shaft, the ease of instrumentation and the required accuracy or level of detail. For the second step, several techniques are available in commercial software and some others have been implemented in a research environment. Each of them has its own advantages and drawbacks. The final aim of the work is to provide guidelines for the correct use of the OBMA technique in an industrial context. Several cases will be shown: a locomotive cabin and a car during engine run-ups and a 3.2 MW wind turbine gearbox during controlled run-ups on a test rig.
机译:在基于顺序的模态分析(OBMA)技术示出了要用于识别在瞬态操作期间旋转机械的情况下,在操作条件下的模态参数非常强大。该方法背后的主要思想是,代替估计光谱和通过使用它们应用工作模态分析(OMA)中,所谓的订单可以被提取并用作用于OMA技术输入。可以假设的是,测量的响应主要是由旋转激励。在这种情况下,助跑和滑行事件可类比为在感兴趣的频段多正弦扫频激励。一些研究已经完成,以确定OBMA无论是在(OT)技术,订单跟踪的条款和OMA技术的最佳实践。根据边界条件,对被测并在有效的操作条件的结构的技术可以比另外一个更强大。基本上有两个基本步骤:转速计信号的一个很好的测量和订单的正确提取,无论是在振幅和相位。对于第一步几个备选方案是可能的。用于测量从所述应用程序和目标的研究两者都取决于旋转速度的传感器。出于这个原因,几个传感器可以在市场上种类繁多的成本和性能的发现。然后最好传感器可被选择用于根据分析的类型每个单独的应用,所述轴的可访问性,容易仪器和所要求的精度或详细程度。对于第二步,几种技术在商业软件可用,有些人已经在研究环境中实现。他们每个人都有自己的优点和缺点。这项工作的最终目的是为在工业环境中正确使用OBMA技术指导。几种情况下将显示:一机车驾驶室和在发动机运行起坐轿厢和期间在试验台上控制运行起坐3.2兆瓦风力涡轮机齿轮箱。

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