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Envelope analysis of rotating machine vibrations in variable speed conditions: A comprehensive treatment

机译：变速条件下旋转机械振动的包络分析：综合处理

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摘要

Nowadays, the vibration analysis of rotating machine signals is a well-established methodology, rooted on powerful tools offered, in particular, by the theory of cyclostationary (CS) processes. Among them, the squared envelope spectrum (SES) is probably the most popular to detect random CS components which are typical symptoms, for instance, of rolling element bearing faults. Recent researches are shifted towards the extension of existing CS tools - originally devised in constant speed conditions - to the case of variable speed conditions. Many of these works combine the SES with computed order tracking after some preprocessing steps. The principal object of this paper is to organize these dispersed researches into a structured comprehensive framework. Three original features are furnished. First, a model of rotating machine signals is introduced which sheds light on the various components to be expected in the SES. Second, a critical comparison is made of three sophisticated methods, namely, the improved synchronous average, the cepstrum prewhitening, and the generalized synchronous average, used for suppressing the deterministic part. Also, a general envelope enhancement methodology which combines the latter two techniques with a time-domain filtering operation is revisited. All theoretical findings are experimentally validated on simulated and real-world vibration signals.
机译：如今，旋转机械信号的振动分析是一种行之有效的方法，其基础是强大的工具，尤其是循环平稳（CS）过程理论所提供的强大工具。其中，平方包络谱（SES）可能是最常见的检测随机CS分量的元素，CS分量是典型的症状，例如滚动元件轴承故障。最近的研究转移到扩展现有的CS工具（最初是在恒定速度条件下设计的）到变速条件的情况。这些工作中的许多工作在一些预处理步骤之后都将SES与计算的订单跟踪结合在一起。本文的主要目的是将这些分散的研究组织成一个结构化的综合框架。提供了三个原始功能。首先，引入了旋转机器信号模型，该模型为SES中预期的各种组件提供了照明。其次，对三种复杂的方法进行了严格的比较，即改进的同步平均，倒谱预白化和广义同步平均，用于抑制确定性部分。同样，重新考虑了将后两种技术与时域滤波操作相结合的通用包络增强方法。所有理论发现均在模拟和真实振动信号上经过实验验证。

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