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풍력발전기예지적유지보수를위한MATLAB 프로그램의활용최정철, 한국에너지기술연구원
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목차
• 회사및발표자약력• 프로젝트개요• 기술적인해결과제• 해결방안및결과 (MATLAB)
• 결과및정리• 다음과제 (MATLAB)
• 결론
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1. 회사및발표자약력
정규직 비정규직
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1. 회사및발표자약력
발표자: 최정철
한국에너지기술연구원 (현재)Fraunhofer 풍력연구소 (독일)GE Wind Energy (독일)
TC88 IEC61400-50-3 한국 대표IECRE SG551 한국 대표
박사: Kassel University (독일)석사: Stuttgart University (독일)학부: 연세대학교
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2. 프로젝트개요
1km
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2. 프로젝트개요
재생에너지 3020 이행계획 (산업부) 2017.12.
0
2000
4000
6000
8000
10000
12000
14000
2019 2030
MW
Wind Energy Capacity
onshore offshore
30MW
13,000MW
1000MW
4000MW
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2. 프로젝트개요
onshore offshore ($170/MWh(1))
O&M cost
(1) International Renewable Energy Agency, 2014
Triple(1)
Source: Offshore Wind Works http://offshorewind.works/cutting-cost-electricity-offshore-wind/
Wind turbine failureOffshore wind farm cost
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2. 프로젝트개요
Corrective Maintenance
Preventative Maintenance
Predictive Maintenance
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2. 프로젝트개요
센서위치
`1
12
3
4
1 3
4
JGRC
2
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2. 프로젝트개요
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2. 프로젝트개요
MATLABApp Designer
WTHeMos
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3. 기술적인해결과제
8,000 components3,000 signals
Health Monitoring
Predictive Maintenance
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4. 해결방안및결과
8,000 components3,000 signals
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4. 해결방안및결과
8,000 components3,000 signals
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4. 해결방안및결과
Machine Learning
Deep Learning
Statistics
Polynomial Curve Fitting
Artificial Neural Network
Support Vector MachineDecision TreeRegularized Linear RegressionGaussian process regression
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4. 해결방안및결과
min. V 4 5 6 7 8 9 10 11 12 13 14 15
max. V 5 6 7 8 9 10 11 12 13 14 15 16
min. I max. I
0 0.05 1 1 0 0
0.05 0.07 0 1 2 15 17 14 20 4 10 21 8 5
0.07 0.09 2 7 23 25 31 36 38 20 24 36 12 5
0.09 0.11 2 20 23 22 15 26 17 10 17 11 3 2
0.11 0.13 8 12 13 8 7 12 6 1 0 1 1 0
0.13 0.15 9 4 6 2 2 2 0 0 1 0 0 0
0.15 0.17 4 4 1 0 0 0 0 0 0 0 0 0
0.17 0.19 3 0 0 0 0 0 0 0 0 0 0 0
0.19 0.21 1 0 1 0 0 0 0 0 0 0 0 0
0.21 0.23 0 0 0 0 0 0 0 0 0 0 0 0
0.23 0.25 0 0 0 0 0 0 0 0 0 0 0 0
0.25 0.27 0 0 0 0 0 0 0 0 0 0 0 0
0.27 0.29 0 0 0 0 0 0 0 0 0 0 0 0
0.29 0 0 0 0 0 0 0 0 0 0 0 0
Total No. of data 29 48 69 72 72 90 81 35 53 70 24 12
Capture matrix
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4. 해결방안및결과
물리량 내용 단위
Acc_FB 나셀앞/뒤방향 가속도 m/s2
Acc_RL 나셀좌/우방향 가속도 m/s2
Base_135 타워하부남북방향모멘트 Nm
Base_225 타워하부동서방향모멘트 Nm
Blade1_edge 1번 블레이드날방향모멘트 Nm
Blade1_flap 1번 블레이드평활방향모멘트 Nm
Blade2_edge 2번 블레이드날방향모멘트 Nm
Blade2_flap 2번 블레이드평활방향모멘트 Nm
Blade3_edge 3번 블레이드날방향모멘트 Nm
Blade3_flap 3번 블레이드평활방향모멘트 Nm
HSS_RPM 고속축에서측정한로터 회전속도 rpm
Shaft_0_180 메인샤프트수직방향모멘트 Nm
Shaft_90_270 메인샤프트수평방향모멘트 Nm
Shaft_torque 메인샤프트토크 Nm
Top_135_315 타워상부남북방향모멘트 Nm
Top_45_225 타워상부동서방향모멘트 Nm
Top_torsion 타워상부비틀림모멘트 Nm
물리량 내용 단위
Con_Wind_Speed 나셀의측정풍속 m/s
WT_Active_Power 유효전력 W
WT_Current_R R상전류 A
WT_Current_S S상전류 A
WT_Current_T T상전류 A
WT_Frequency 출력주파수 Hz
WT_Volt_R R상전압 V
WT_Volt_S S상전압 V
WT_Volt_T T상전압 V
WS 풍속 m/s
WD 풍향 deg
Temp 기온 deg.C
Barometer 공기밀도 kg/m3
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4. 해결방안및결과
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4. 해결방안및결과
Damage Equivalent Load
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4. 해결방안및결과
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4. 해결방안및결과
Polynomial Curve Fitting Artificial Neural Network
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4. 해결방안및결과
Flapwise bending moment of the blade 1 (m=12)
1Hz DEL WT-1 WT-2 WT-3 WT-4
1st ANN ANN ANN ANN
2nd Linear Linear Tree Linear
3rd Tree Tree Linear Tree
4th Polynomial Polynomial Polynomial Polynomial
ANN : Artificial Neural NetworkLinear : Regularized Linear RegressionTree : Decision TreePolynomial : Polynomial Curve Fitting
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4. 해결방안및결과
1Hz DEL
Prediction Score
1st 2nd 3rd 4th
Flapwise bending moment of the blade 1 (m=12)
ANN Linear Tree Polynomial
Edgewise bending moment of the blade 1 (m=12)
ANN Tree Linear Polynomial
Shaft tilt moment (m=6) ANN Linear Tree Polynomial
Shaft yaw moment (m=6) Polynomial Linear ANN Tree
Tower bottom normal moment (m=4)
Linear ANN Tree Polynomial
Tower bottom lateral moment (m=4)
Linear ANN Polynomial Tree
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5. 결과및정리
WTHeMoS
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6. 다음과제
Outer Race Damage
Inner Race Damage
Ball Damage
Gear Tooth Damage
Cage Damage
Predictive Maintenance ToolboxTM
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7. 결론
Predictive Maintenance
8,000 components3,000 signals
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풍력발전기예지적유지보수를위한 MATLAB 프로그램의활용최정철, 한국에너지기술연구원
감사합니다