Earticle

초록

영어

To effectively diagnose the deterministic faults of a LPRE ground-testing bed, the fault diagnosis method based on PCA and SOM is proposed. The dimension reduction process of PCA not only reduces data size, but also reduces noise influence. It also implements a visualization of fault status identification and fault variable orientation by SOM. Simulation and real fault data results indicate that the efficiency and identification ratio of PCA-SOM method are better than SOM method.

목차

Abstract
 1. Introduction
 2. Principle of Fault Diagnosis witt SOM
 3. Principle of Fault Diagnosis witt PCA-SOM
 4. Experiment and Results
  4.1. Experiment and results, with fault data generated by the mechanism model
  4.2. Experiment and results, with fault data generated by statistical model
  4.3. Experiment and results with real fault data of XX1 LPRE ground-testing bed
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Zhigang Feng [ School of Automation, Shenyang Aerospace University, Shenyang, Liaoning, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605