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Application of Iterative Singular Value Decomposition De-noising to Centrifugal Compressor Signal Analysis

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJHIT) 바로가기
  • 간행물
    International Journal of Hybrid Information Technology 바로가기
  • 통권
    Vol.5 No.4 (2012.10)바로가기
  • 페이지
    pp.31-40
  • 저자
    Hao Wang, Jinji Gao, Zhinong Jiang, Bo Ma
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A208230

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원문정보

초록

영어
Noise has great influence on the signal analysis for centrifugal compressor. In order to eliminate the noise, the iterative singular value decomposition (ISVD) de-noising is applied in this paper. Firstly, the algorithm of this method is introduced. It is based on singular value decomposition about the trajectory matrix of attractor which is reconstructed according to time delay embedding theory. Secondly, the accuracy of this method is tested by reconstructing the pseudo-phase portrait for the signal of Lorenz attractor. Comparing with the pseudo-phase portrait reconstructed from signal contained noise, the pseudo-phase portrait reconstructed after ISVD de-noising is more regular. Finally, this method is used in the centrifugal compressor signal analysis. By this method, the correlation dimension, which can reflect different fault condition for nonlinear system, is estimated accurately. It is proved that this method can reduce the noise effectively, which influences the correlation dimension computing a lot. This method can improve the nice rate of signal analysis.

목차

Abstract
 1. Introduction
 2. ISVD De-noising Algorithm
  2.1. Construction of the Trajectory Matrix
  2.2. Singular Value Decomposition
  2.3. Acquisition of the Noise Reduced Signal
  2.4. Iteration
  2.5. An Important Question
 3. Numerical Simulation Experiment
  3.1. Qualitative Experiment
  3.2. Quantitative Experiment
 4. Actual Application
 5. Conclusion
 Acknowledgments
 References

키워드

iterative singular value decomposition centrifugal compressor de-noising correlation dimension pseudo-phase portrait

저자

  • Hao Wang [ Engineering Research Center of Chemical Technology Safety of Ministry of Education, Beijing University of Chemical Technology ]
  • Jinji Gao [ Engineering Research Center of Chemical Technology Safety of Ministry of Education, Beijing University of Chemical Technology ]
  • Zhinong Jiang [ Engineering Research Center of Chemical Technology Safety of Ministry of Education, Beijing University of Chemical Technology ]
  • Bo Ma [ Engineering Research Center of Chemical Technology Safety of Ministry of Education, Beijing University of Chemical Technology ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Hybrid Information Technology
  • 간기
    격월간
  • pISSN
    1738-9968
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

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