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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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Chicago
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.
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.
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.
MLA
Janssens, Olivier, Raiko Schulz, Viktor Slavkovikj, et al. “Thermal Image Based Fault Diagnosis for Rotating Machinery.” INFRARED PHYSICS & TECHNOLOGY 73 (2015): 78–87. Print.
@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},
  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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