원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.6 No.5
2013.10
pp.447-456
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
The unit capacity of propulsion motor is greater than that of generator in all-electric ship electric system, in this high power load changes under the impact of random overload, the generator is extremely easy to have the fault causing system crashes. In this paper, a mathematical model of all-electric ship power system was established, and wavelet analysis was used to extract the feature of heavy load of power grid fault condition based on MATLAB. The simulation results prove that the simulating model of All Electric Ship Power System (AESPS) is reasonable, and by using the method wavelet analysis the feature information can be effectively extracted, which provides the basis for fault diagnosis.
목차
Abstract
1. Introduction
2. Modeling of AESPS
2.1. Modeling of Generator and its Excitation System
2.2. Modeling of AC Power Propulsion System
2.3. Simulation Experiment of AESPS Power System
3. Signal Feature Extraction based on Wavelet Analysis
4. Conclusions
Acknowledgements
References
1. Introduction
2. Modeling of AESPS
2.1. Modeling of Generator and its Excitation System
2.2. Modeling of AC Power Propulsion System
2.3. Simulation Experiment of AESPS Power System
3. Signal Feature Extraction based on Wavelet Analysis
4. Conclusions
Acknowledgements
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보