Gear Fault Recognition based on Local Detail Spectrum

Yan Hao; Xiao Han

doi:10.16578/j.issn.1004.2539.2018.08.029

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Gear Fault Recognition based on Local Detail Spectrum

更新时间：2022-10-20

- Gear Fault Recognition based on Local Detail Spectrum
- Vol. 42, Issue 8, Pages: 148-152(2018)
- 作者机构：
  
  1. 武汉科技大学冶金装备及其控制教育部重点实验室
  2. 武汉科技大学机械传动与制造工程湖北省重点实验室
  3. 武汉科技大学机械实验教学中心
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2018.08.029
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[1]严皓,肖涵.基于局部细节谱的齿轮故障识别研究[J].机械传动,2018,42(08):148-152.

Yan Hao, Xiao Han. Gear Fault Recognition based on Local Detail Spectrum. [J]. 42(8):148-152(2018)
[1]严皓,肖涵.基于局部细节谱的齿轮故障识别研究[J].机械传动,2018,42(08):148-152. DOI： 10.16578/j.issn.1004.2539.2018.08.029.

Yan Hao, Xiao Han. Gear Fault Recognition based on Local Detail Spectrum. [J]. 42(8):148-152(2018) DOI： 10.16578/j.issn.1004.2539.2018.08.029.

摘要

经典的递归定量分析方法（Recurrence Quantification Analysis,RQA）是通过研究递归图中递归点在水平、垂直及对角方向的分布规律,对递归图进行定量研究。提出了一种新的递归定量分析方法:局部细节谱（Local Detail Spectrum,LDS）。该方法更关注于递归图中有限区间内递归点局部分布规律的定量分析。将所提出的局部细节谱用于齿轮故障分类,实验证明,局部细节谱可取得较好的故障识别效果。

Abstract

Unlike the normal recurrence quantification analysis（ RQA） which pay attention to the distribution of different kinds of lines such as diagonal lines,vertical lines and horizontal lines,a new perspective to study recurrence plot（ RP） is developed and the local detail spectrum（ LDS） will be proposed as one new RQA measure. This method pay more attention to the local details of the recurrence plot. The application of LDS in gear fault signal is studied in detail. The experiment proved the better performance of LDS in the field of gear fault diagnosis.

关键词

递归图局部细节谱递归定量分析齿轮故障识别

Keywords

Recurrence plotLocal detail spectrumRecurrence quantification analysisGear fault recognition

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Sliding Recurrence Analysis and its Application of Gear Vibration Signal

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The Ministry of Education Key Laboratory of Metallurgical Equipment and Its Control,College of Machinery and Automation,Wuhan University of Science and Technology

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