The synchronous (time domain) average revisited

被引：175

作者：

Braun, S. ^{[1
]}

机构：

[1] Technion Israel Inst Technol, Fac Mech Engn, IL-32000 Haifa, Israel

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2011年 / 25卷 / 04期

关键词：

Averages; Comb filters; Time domain average; PERIODIC WAVEFORMS; EXTRACTION; VIBRATION; MODEL;

D O I：

10.1016/j.ymssp.2010.07.016

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Synchronous averaging is one of the most powerful techniques for the extraction of periodic signals from a composite signal. It is based on averaging periodic sections, necessitating an a-priori knowledge of the period sought. It is one of the most effective signal processing tools applied to rotating machinery, and has been known and used for decades. It will be shown that synchronous average is actually just one of the many possible "synchronous filters" which could be used to extract the above periodic components performance. A novel signal analysis, geared to periodic signals will be introduced, with the potential of extracting more complex phenomena typical of some rotating machinery. Examples given are based on periodic oscillating transients, with various additive interferences. The possibility of additional signal processing approaches is also discussed. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：1087 / 1102

页数：16

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