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Early Fault Detection and Initial Fault Estimation of Rolling Element Bearing

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目录

声明

List of Figures

List of Tables

Chapter 1 Introduction

1.1 Background and motivation

1.2 Literature review

1.2.1 Machine condition monitoring techniques

1.2.2 The Early Fault Features Extraction of Rolling Element Bearing

1.3 Thesis Outline

1.4 Summary

Chapter 2 The Fundamentals of Rolling Element Bearings

2.1 The basic structures of bearings

2.1.1 Rolling element bearing Description and Components

2.1.2 Dynamic Responses of Roller Bearing elements

2.2 Characteristic Symptoms for the Bearing fault

2.3 The Stage of Bearing Degradation

2.4 Summary

Chapter 3 An Approach to Recover Faulty Bearing Signal from The Heavy Noise Based on VMD and EEMD

3.1 Theoretical background

3.1.1 Variational Mode Decomposition

3.1.2 Ensemble empirical mode decomposition(EEMD)

3.2 The Proposed Method

3.2.1 An approach to recovery faulty bearing signal from large noise based on VMD and EEMD

3.3 Result and discussion

3.4 Summary

Chapter 4 Bearing Fault Diagnosis Method Based on Infogram with Envelope

4.1 Theoretical background

4.1.1 The concept of entropy

4.1.2 Spectral Negentropy and Infogram

4.1.3 Pre-whitening

4.1.4 Envelope analysis techniques

4.2 The Proposed Approach

4.3 Experimental results and discussions

4.3.1 Diagnosis of the Bearing(outer race fault)

4.3.2 Discussion

4.4 Summary

Chapter 5 Early Fault Detection and Intimal Fault Time Estimation by Infogram with VMD

5.1 An overview of the methodology

5.2 Experimental set-up

5.3 Experimental Results

5.4 Discussions

5.5 Summary

Conclusions and Future work

Conclusions

Future work

参考文献

致谢

List of publications

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著录项

  • 作者单位

    兰州理工大学;

  • 授予单位 兰州理工大学;
  • 学科 机械制造及其自动化
  • 授予学位 硕士
  • 导师姓名 剡昌锋;
  • 年度 2019
  • 页码
  • 总页数
  • 原文格式 PDF
  • 正文语种 中文
  • 中图分类 计算数学;
  • 关键词

    Fault; Initial; and;

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