Earticle

초록

영어

Fault prediction is the precondition of Condition Based Maintenance (CBM), accurate prediction for equipment can not only make warning before failure occurs, but also reduce the cost of maintenance of complicated equipment and system. Therefore, it is of profound importance to make research on fault prediction of electronic equipment. This paper analyses some typical fault prediction method of electronic equipment, and presented improvement measures for the practical problems, finally proposed a combination of fault prediction model, and it was applied to the electronic equipment with complex structure verification.

목차

Abstract
 1. Introduction
 2. Least Squares Support Vector Machine Fault Prediction Methods
  2.1. Least Squares Support Vector Machine Fault Prediction Model
  2.2. Least Squares Support Vector Machine Fault Prediction Process
 3. State Recognition based on Hidden Markov Model
  3.1. Feature Extraction Based on LDA
  3.2. Theory Based on the of HMM
  3.3 The Algorithm of Improved HMM
 4. Combination Prediction Model in the Application of the Electronic Equipment
  4.1 Electronic Equipment Structure
  4.2 Combination Prediction Model
  4.3 Established Combination Prediction Model
  4.4 Combination Prediction Model in the Application of the Electronic Equipment
 5. Conclusion
 6. Acknowledgements
 7. References

키워드

저자

• Xiaohui Ye [ Department of Scientific research, Naval University of Engineering, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605