Dynamics analysis,feature extraction and intelligent diagnosis for rubbing fault of rotor supported on bull bearings

LI Fei-min; CHEN Guo; HOU You-ping

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Dynamics analysis,feature extraction and intelligent diagnosis for rubbing fault of rotor supported on bull bearings

更新时间：2026-07-07

- Dynamics analysis,feature extraction and intelligent diagnosis for rubbing fault of rotor supported on bull bearings
- Vol. 22, Issue 11, (2007)
- 作者机构：
  
  南京航空航天大学民航学院,南京,210016
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2007
- 稿件说明：
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LI Fei-min, CHEN Guo, HOU You-ping. Dynamics analysis,feature extraction and intelligent diagnosis for rubbing fault of rotor supported on bull bearings[J]. 2007, 22(11).
DOI：

LI Fei-min, CHEN Guo, HOU You-ping. Dynamics analysis,feature extraction and intelligent diagnosis for rubbing fault of rotor supported on bull bearings[J]. 2007, 22(11). DOI：

摘要

针对滚动轴承支承下的转子碰摩故障诊断问题

考虑滚动轴承非线性赫兹接触和轴承径向间隙

建立了含不平衡-碰摩耦合故障的转子-滚动轴承系统动力学模型.应用三维谱图分析碰摩诊断依据和确定频段特征

利用仿真数据获取结构最优的神经网络模型

并对试验碰摩故障数据进行诊断

识别率高达90%以上.计算结果充分表明了建立的动力学模型的有效性

同时

研究结果为有效结合故障机理分析与故障智能诊断提供了新的方法.

Abstract

This paper aims at diagnosing the rubbing fault of a rotor supported on ball bearings.Firstly

a dynamics model of unbalance-rubbing coupling fault of rotorball bearing system was established by taking into account the nonlinear Hertzian contact and the radial clearance;secondly

3-Dspectrum diagram was used to analyze the rubbing fault and determine the characteristics of every frequency zone;thirdly

an optimized self-adaptive neural network was obtained using simulation data

and rubbing test samples were diagnosed with a recognition accuracy over 91%.The results validate the usefulness of this dynamics model

meanwhile the research findings provide a new method for effectively combining malfunction mechanism analysis and intelligent diagnosis.

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Related Author

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WANG De-you

HAN Jinchang

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Related Institution

Civil Aviation College, Nanjing University of Aeronautics and Astronautics

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沈阳工业大学机械工程学院

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