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Normalization of vibration signals generated under highly varying speed and load with application to signal separation

机译:归一化在高速度和高负载下生成的振动信号及其在信号分离中的应用

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The paper presents a normalization dedicated to transform non-stationary vibration signals into signals characterized by purely stationary properties. For this purpose, a novel class of generalized periodic signals is defined followed by a proposition of a normalization technique, which takes advantage of available, instantaneous values of operational parameters. Within the paper, a well-known discrete-random separation (DRS) technique is recalled as an exemplary technique, which has been restricted to stationary signals so far. The authors present a step-by-step adoption of the DRS to non-stationary signals. The method is applied to simulated signal, test rig signal, and a vibration signal from industrial object. Additionally, for the purpose of synthesis of simulated signal, a new model of multi-component vibrations generated under varying regime is proposed. The presented method aims to expand existing solutions dealing with varying frequency to a more general solution dealing with independent, simultaneous varying frequency and amplitude of signal components.
机译:本文提出了一种归一化方法,专门用于将非平稳振动信号转换为具有纯平稳特性的信号。为此,定义了一类新颖的广义周期信号,然后提出了归一化技术的建议,该技术利用了操作参数的可用瞬时值。在本文中,召回了众所周知的离散随机分离(DRS)技术作为一种示例性技术,到目前为止,该技术仅限于平稳信号。作者提出了将DRS逐步应用于非平稳信号的方法。该方法适用于仿真信号,试验台信号和工业对象的振动信号。另外,出于合成模拟信号的目的,提出了一种在变化状态下产生的多分量振动的新模型。提出的方法旨在将处理频率变化的现有解决方案扩展到处理信号分量的独立,同时变化的频率和幅度的更通用的解决方案。

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