The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines
The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines
复制标题
DOI：
10.1016/j.ymssp.2004.09.002
复制
发表时间：
2006-02-01
影响因子：
8.4
通讯作者：
Randall, RB
中科院分区：
文献类型：
--
作者：
Antoni, J;Randall, RB
在前一篇论文中，作者已经证明了谱峰度（SK）检测和消除非平稳信号的高潜力。本文汇集了这些想法，并显示如何SK可以有效地用于旋转机械的振动为基础的状态监测。首先，与经典的峰度分析相比，SK提供了一种鲁棒的方法来检测早期故障，即使在存在强掩蔽噪声的情况下。其次，SK提供了一种几乎独特的设计最佳滤波器的方法，用于滤除故障的机械特征。第一个属性对于监测目的具有实际重要性，而第二个属性在诊断中被证明非常有用。本文的另一个创新之处是引入了峰图的概念，从中可以推导出最佳的带通滤波器，例如作为包络分析的前奏。文中提出的所有原创性研究结果都是用实际工业案例来说明的。(c)2004 Elsevier Ltd.保留所有权利。
In the previous paper, the authors have demonstrated the high potential of the spectral kurtosis (SK) to detect and characterise non-stationary signals. The present paper brings together these ideas and shows how the SK can be efficiently used in the vibration-based condition monitoring of rotating machines. First, and in contrast to classical kurtosis analysis, the SK provides a robust way of detecting incipient faults even in the presence of strong masking noise. Second, the SK offers an almost unique way of designing optimal filters for filtering out the mechanical signature of faults. The first property is of practical importance for monitoring purposes, whereas the second one proves very useful in diagnostics. Another originality of the paper is the introduction of the concept of kurtogram, from which optimal band-pass filters can be deduced, for instance as a prelude to envelope analysis. All the original findings presented in the paper are illustrated using actual industrial cases. (c) 2004 Elsevier Ltd. All rights reserved.