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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2011.9
- 수록면
- 759 - 766 (8page)
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This paper focuses on monitoring and predicting the short circuit faults of the rotor windings of large turbo-generator systems. For the purpose of increasing efficiency and decreasing maintenance cost, a method that combines the HHT (Hilbert Huang Transform) with a wavelet has been studied. This method is based on analyzing a classical Albright detecting coil. Due to the Empirical Mode Decomposition (EMD) and the Intrinsic Mode Functions (IMF) of the HHT the exact location of a short circuit of rotor windings may be given. However, a part of the useful information is eliminated by the unreasonable decomposing scale of the wavelet. Based on the thermodynamics modeling method, this study was illustrated with a 50㎿ turbo-generator system that is installed in Northern China. The analysis results, which have very good agreement with those of a previous study, show that the method of combining the HHT with a wavelet is an effective way to analyze and predict the short circuit faults of the rotor windings of large generators, such as supercritical turbo-generator systems and wind turbo-generator systems. This work can offer a useful reference for analyzing smart grids by improving the power quality of a distribution network that is supplied by a turbo-generator system.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. ANALYSIS OF INSTANTANEOUS FREQUENCY
Ⅲ. APPLICATION OF HHT FOR ANALYZING A 50MW TURBO-GENERATOR
Ⅳ. THERMODYNAMIC MODELING METHOD ANALYSIS
Ⅴ. CONCLUSIONS
ACKNOWLEDGEMENT
REFERENCES
참고문헌 (16)
참고문헌 신청
S. Han / 2009 / Dynamic characteristic analysis of power system low frequency oscillation using hilbert-huang transform / Proceeding of IEEE PSCE :1~6
H. Li / 2010 / Ensemble empirical mode decomposition and Hilbert-Huang transform applied to bearing fault diagnosis / Proceeding of IEEE CISP :341~3417
J.-G. Song / 2011 / Decomposition of seismic signal based on Hilbert-Huang transform / Proceeding of IEEE BMEI :813~816
X. Li / 2010 / Image splicing detection based on moment features and Hilbert-Huang Transform / Proceeding of IEEE ICITIS :1127~1130
R. Yan / 2007 / Hilbert-Huang. transform-based vibration signal analysis for machine health monitoring / Journal of Instrumentation and Measurement 55(6):2320~2329
H. Li / 2010 / Ensemble empirical mode decomposition and Hilbert-Huang transform applied to bearing fault diagnosis / Proceeding of IEEE CISP :341~3417
J.-G. Song / 2011 / Decomposition of seismic signal based on Hilbert-Huang transform / Proceeding of IEEE BMEI :813~816
X. Li / 2010 / Image splicing detection based on moment features and Hilbert-Huang Transform / Proceeding of IEEE ICITIS :1127~1130
R. Yan / 2007 / Hilbert-Huang. transform-based vibration signal analysis for machine health monitoring / Journal of Instrumentation and Measurement 55(6):2320~2329
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UCI(KEPA) : I410-ECN-0101-2013-560-000658875