Order-crossing removal in Gabor order tracking by independent component analysis

被引：17

作者：

Guo, Yu ^{[1
]}

Tan, Kok Kiong ^{[2
]}

机构：

[1] Kunming Univ Sci & Technol, Fac Mech & Elect Engn, Kunming 650093, Peoples R China

[2] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117576, Singapore

来源：

JOURNAL OF SOUND AND VIBRATION | 2009年 / 325卷 / 1-2期

关键词：

SHAFT-SPEED INFORMATION; BLIND SOURCE SEPARATION; REPRESENTATION; EXPLORATION; ALGORITHMS; ROBUST; SIGNAL;

D O I：

10.1016/j.jsv.2009.03.003

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Order-crossing problems in Gabor order tracking (GOT) of rotating machinery often occur when noise due to power-frequency interference, local structure resonance, etc., is prominent in applications. They can render the analysis results and the waveform-reconstruction tasks in GOT inaccurate or even meaningless. An approach is proposed ill this paper to address the order-crossing problem by independent component analysis (ICA). With the approach, accurate order analysis results can be obtained and the waveforms of the order components of interest can be reconstructed or extracted from the recorded noisy data series. In addition, the ambiguities (permutation and scaling) of ICA results are also solved with the approach. The approach is amenable to applications in condition monitoring and fault diagnosis of rotating machinery. The evaluation of the approach is presented in detail based on simulations and an experiment on a rotor test rig. The results obtained using the proposed approach are compared with those obtained using the standard GOT. The comparison shows that the presented approach is more effective to solve order-crossing problems ill GOT. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：471 / 488

页数：18

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