메뉴 건너뛰기

ENG

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
(Harbin Institute of Technology) (Harbin Institute of Technology) (Harbin Institute of Technology) (Harbin Institute of Technology) (Harbin Electric Machinery) (Harbin Institute of Technology)
저널정보
전력전자학회 JOURNAL OF POWER ELECTRONICS JOURNAL OF POWER ELECTRONICS Vol.11 No.5
발행연도
수록면
759 - 766 (8page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
이 논문의 연구방법이 궁금하신가요?
🏆
연구결과
이 논문의 연구결과가 궁금하신가요?
AI에게 요청하기
추천
검색
질문

초록· 키워드

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.
#HHT #Short circuit #Thermodynamics modelling #Turbo-generator system #Wavelet
상세정보 수정요청해당 페이지 내 제목·저자·목차·페이지
정보가 잘못된 경우 알려주세요!

목차

  1. Abstract
  2. Ⅰ. INTRODUCTION
  3. Ⅱ. ANALYSIS OF INSTANTANEOUS FREQUENCY
  4. Ⅲ. APPLICATION OF HHT FOR ANALYZING A 50MW TURBO-GENERATOR
  5. Ⅳ. THERMODYNAMIC MODELING METHOD ANALYSIS
  6. Ⅴ. CONCLUSIONS
  7. ACKNOWLEDGEMENT
  8. REFERENCES

참고문헌

참고문헌 신청

최근 본 자료

전체보기
260319_딥리서치
260319_AI리더
260304_새학기에이전트
260420 이주의질문
260122_AIagent
260304_아그논문롤
260127_아그논문
260127_AI뷰어
UCI(KEPA) : I410-ECN-0101-2013-560-000658875