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Thermal image based fault diagnosis for rotating machinery

Olivier Janssens (UGent) , Raiko Schulz (UGent) , Viktor Slavkovikj (UGent) , Kurt Stockman (UGent) , Mia Loccufier (UGent) , Rik Van de Walle (UGent) and Sofie Van Hoecke (UGent)
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Keywords
MAINTENANCE, ELECTRICAL-EQUIPMENT, INFRARED THERMOGRAPHY, Condition monitoring, Fault diagnosis, Rotating machinery, Infrared imaging, Image processing, Machine learning

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Citation

Please use this url to cite or link to this publication:

MLA
Janssens, Olivier et al. “Thermal Image Based Fault Diagnosis for Rotating Machinery.” INFRARED PHYSICS & TECHNOLOGY 73 (2015): 78–87. Print.
APA
Janssens, O., Schulz, R., Slavkovikj, V., Stockman, K., Loccufier, M., Van de Walle, R., & Van Hoecke, S. (2015). Thermal image based fault diagnosis for rotating machinery. INFRARED PHYSICS & TECHNOLOGY, 73, 78–87.
Chicago author-date
Janssens, Olivier, Raiko Schulz, Viktor Slavkovikj, Kurt Stockman, Mia Loccufier, Rik Van de Walle, and Sofie Van Hoecke. 2015. “Thermal Image Based Fault Diagnosis for Rotating Machinery.” Infrared Physics & Technology 73: 78–87.
Chicago author-date (all authors)
Janssens, Olivier, Raiko Schulz, Viktor Slavkovikj, Kurt Stockman, Mia Loccufier, Rik Van de Walle, and Sofie Van Hoecke. 2015. “Thermal Image Based Fault Diagnosis for Rotating Machinery.” Infrared Physics & Technology 73: 78–87.
Vancouver
1.
Janssens O, Schulz R, Slavkovikj V, Stockman K, Loccufier M, Van de Walle R, et al. Thermal image based fault diagnosis for rotating machinery. INFRARED PHYSICS & TECHNOLOGY. 2015;73:78–87.
IEEE
[1]
O. Janssens et al., “Thermal image based fault diagnosis for rotating machinery,” INFRARED PHYSICS & TECHNOLOGY, vol. 73, pp. 78–87, 2015.
@article{7033514,
  author       = {Janssens, Olivier and Schulz, Raiko and Slavkovikj, Viktor and Stockman, Kurt and Loccufier, Mia and Van de Walle, Rik and Van Hoecke, Sofie},
  issn         = {1350-4495},
  journal      = {INFRARED PHYSICS & TECHNOLOGY},
  keywords     = {MAINTENANCE,ELECTRICAL-EQUIPMENT,INFRARED THERMOGRAPHY,Condition monitoring,Fault diagnosis,Rotating machinery,Infrared imaging,Image processing,Machine learning},
  language     = {eng},
  pages        = {78--87},
  title        = {Thermal image based fault diagnosis for rotating machinery},
  url          = {http://dx.doi.org/10.1016/j.infrared.2015.09.004},
  volume       = {73},
  year         = {2015},
}

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