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시간영역과 주파수영역을 통합한 풍력 발전기 베어링의 결함 진단 기법

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Alternative Title
Wind Turbine Gearbox Bearing Fault Diagnosis using Time and Frequency Domain Analysis
Abstract
The current trend in wind turbine technology is to develop larger wind turbine due to economic reasons. As a result of this increase in size of blades and tower height, the mechanical and electrical loads increase simultaneously. Increase in loads increases the chance of turbine faults and failures ; the resulting down time has huge economic implications. Therefore the large turbines need condition monitoring systems to diagnose faults in individual components of the transmission system, because vibrations caused by one faulty component can cause other components to develop faults as well. Hence large turbines require condition monitoring systems in order to improve their availability and reliability.

In this research, the bearing defects diagnosis method has been proposed which is integrated time and frequency domain analysis method in order to improve reliability and effectiveness of defects diagnosis.
In the first diagnosis step using time domain trending analysis for generator bearing, the mean value, rms and maximum value according to high speed shaft RPM have been plotted. Every parameters has shown different trending result with defects free bearing result. In order to detect and clarify where the defects is located in the bearing, the frequency domain analysis using envelope analysis has been carried out. At the result of envelope analysis, the fault frequency of bearing outer race has been detected with its harmonics.
The result can prove the proposed method is able to detect and diagnose the bearing defects clearly and precisely.
Author(s)
이경현
Issued Date
2012
Awarded Date
2012. 8
Type
Dissertation
URI
http://dcoll.jejunu.ac.kr/jsp/common/DcLoOrgPer.jsp?sItemId=000000006083
Alternative Author(s)
Lee, Kyoung-Hyoun
Affiliation
제주대학교
Department
대학원 풍력특성화협동과정
Advisor
최경현
Table Of Contents
1. 연구 배경 및 필요성 5

2. 이론적 배경 7
2-1. 풍력 발전기의 드라이브 트레인 7
2-2. 베어링 일반 8
2-3. 베어링 결함주파수 9
2-4. 시간 영역분석 13
2-5. 주파수 영역분석 15

3. 통합 결함 진단 18
3-1. 시간 영역에서의 진동 경향성 분석 19
3-2. 주파수 영역 해석을 위한 포락선 분석 20
3-2-1. 대역통과필터링 21
3-2-2. 힐버트 변환 24

4. 베어링 진동 신호 처리 및 결함 진단 결과 26
4-1. 분석 대상 풍력 발전기 및 데이터 측정 26
4-2. RPM Estimation 27
4-3. 경향성 분석 28
4-4. 대역 통과 필터링 33
4-5. 주파수 영역해석 결과 및 결함 주파수 검출 34

5. 결과의 고찰 39
5-1. 효율 39
5-2. 고장 검증 39
6. 결론 41
참 고 문 헌 42
Degree
Master
Publisher
제주대학교 대학원
Citation
이경현. (2012). 시간영역과 주파수영역을 통합한 풍력 발전기 베어링의 결함 진단 기법
Appears in Collections:
General Graduate School > Multidisciplinary Graduate School Program for Wind Energy
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