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 decompositioncentrifugal compressorde-noisingcorrelation dimensionpseudo-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 ]
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 505DDC 605
이 권호 내 다른 논문 / International Journal of Hybrid Information Technology Vol.5 No.4