towards thermal imaging based condition monitoring in ...€¦ · towards thermal imaging based...

Towards thermal imaging based condition

monitoring in offshore wind turbines

Sofie Van Hoecke, Olivier Janssens, Raiko Schulz,

Kurt Stockman, Mia Loccufier , Rik Van de Walle

AITA 2015 – Sofie Van Hoecke - 02/10/2015

AITA 2015 – Sofie Van Hoecke - 02/10/2015

European Union has set a

20% renewable energy target for 2020

AITA 2015 – Sofie Van Hoecke - 02/10/2015

Three possible growth scenarios for

wind energy towards 2020

Increase in installed wind turbine

capacity of 41%, 64%, or 85%

respectively compared to 2013

AITA 2015 – Sofie Van Hoecke - 02/10/2015

Offshore wind is generally 8 m/s higher at European

coastal waters compared to those onshore

AITA 2015 – Sofie Van Hoecke - 02/10/2015

Exploitation

expensive

AITA 2015 – Sofie Van Hoecke - 02/10/2015

AITA 2015 – Sofie Van Hoecke - 02/10/2015

Operation & maintenance actions take ± 30% of the

total production cost of offshore electricity in wind farms

AITA 2015 – Sofie Van Hoecke - 02/10/2015

Reducing O&M-costs by the use of

new and more advanced

condition monitoring techniques

VIS-Project OWOME

Offshore Wind Operations & Maintenance Excellence

AITA 2015 – Sofie Van Hoecke - 02/10/2015

Downtime caused by turbine subsystems

AITA 2015 – Sofie Van Hoecke - 02/10/2015

AITA 2015 – Sofie Van Hoecke - 02/10/2015

AITA 2015 – Sofie Van Hoecke - 02/10/2015

AITA 2015 – Sofie Van Hoecke - 02/10/2015

Hot spot temperature profiles

for healthy and faulty bearing

Non-contact

Non-intrusive

Not disrupting operation

AITA 2015 – Sofie Van Hoecke - 02/10/2015

AITA 2015 – Sofie Van Hoecke - 02/10/2015

NF

NF-IM

MRL

MRL-IM

HRL

HRL-IM

ORF

ORF-IM

AITA 2015 – Sofie Van Hoecke - 02/10/2015

IR video

Preprocessing

Feature extraction

Classification

Preprocessing

Feature extraction

Classification

Healthy bearing

Mildly inadequately lubricated bearing

Outer raceway

Imbalance (-IM)

Balance

Extremely inadequately lubricated bearing P

ipelin

e 1

Pip

eline 2

AITA 2015 – Sofie Van Hoecke - 02/10/2015

IR video

Preprocessing

Feature extraction

Classification

Preprocessing

Feature extraction

Classification

Healthy bearing

Mildly inadequately lubricated bearing

Outer raceway

Imbalance (-IM)

Balance

Extremely inadequately lubricated bearing P

ipelin

e 1

Pip

eline 2

AITA 2015 – Sofie Van Hoecke - 02/10/2015

Random Decision

Forest Classification

AITA 2015 – Sofie Van Hoecke - 02/10/2015

1 2 3 4 5

6 7 8 9 10

11 12 13 14 15

16 17 18 19 20

21 22 23 24 25

26 27 28 29 30

31 32 33 34 35

36 37 38 39 40

NF

NF-IM

MRL

MRL-IM

HRL

HRL-IM

ORF

ORF-IM

Be

arin

g 1

Be

arin

g 2

Be

arin

g 3

Be

arin

g 4

Be

arin

g 5

40 recordings (5 bearings * 8 faults/conditions)

1 hour video per recording

Corrected for ambient temperature

Leave-one-bearing-out cross validation

AITA 2015 – Sofie Van Hoecke - 02/10/2015

AITA 2015 – Sofie Van Hoecke - 02/10/2015

IR video

Preprocessing

Feature extraction

Classification

Preprocessing

Feature extraction

Classification

Healthy bearing

Mildly inadequately lubricated bearing

Outer raceway

Imbalance (-IM)

Balance

Extremely inadequately lubricated bearing P

ipelin

e 1

Pip

eline 2

100% (+/- 0%)

87.5% (+/- 1.12%)

Overall accuracy: 87.5%

AITA 2015 – Sofie Van Hoecke - 02/10/2015

prof. dr. ir. Sofie Van Hoecke

Universiteit Gent - iMinds

Tel. +32 9 3314958 | Fax +32 9 3314896 | GSM +32 486 569609

Dept. of Electronics and Information Systems | Multimedia Lab

http://be.linkedin.com/in/svhoecke

AITA 2015 – Sofie Van Hoecke - 02/10/2015