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Convolutional neural network based fault detection for rotating machinery

Olivier Janssens (UGent) , Viktor Slavkovikj (UGent) , Bram Vervisch (UGent) , Kurt Stockman (UGent) , Mia Loccufier (UGent) , Steven Verstockt (UGent) , Rik Van de Walle (UGent) and Sofie Van Hoecke (UGent)
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ALGORITHM, RECOGNITION, DIAGNOSIS

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Chicago
Janssens, Olivier, Viktor Slavkovikj, Bram Vervisch, Kurt Stockman, Mia Loccufier, Steven Verstockt, Rik Van de Walle, and Sofie Van Hoecke. 2016. “Convolutional Neural Network Based Fault Detection for Rotating Machinery.” Journal of Sound and Vibration 377: 331–345.
APA
Janssens, O., Slavkovikj, V., Vervisch, B., Stockman, K., Loccufier, M., Verstockt, S., Van de Walle, R., et al. (2016). Convolutional neural network based fault detection for rotating machinery. JOURNAL OF SOUND AND VIBRATION, 377, 331–345.
Vancouver
1.
Janssens O, Slavkovikj V, Vervisch B, Stockman K, Loccufier M, Verstockt S, et al. Convolutional neural network based fault detection for rotating machinery. JOURNAL OF SOUND AND VIBRATION. LONDON: ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD; 2016;377:331–45.
MLA
Janssens, Olivier, Viktor Slavkovikj, Bram Vervisch, et al. “Convolutional Neural Network Based Fault Detection for Rotating Machinery.” JOURNAL OF SOUND AND VIBRATION 377 (2016): 331–345. Print.
@article{8048629,
  author       = {Janssens, Olivier and Slavkovikj, Viktor and Vervisch, Bram and Stockman, Kurt and Loccufier, Mia and Verstockt, Steven and Van de Walle, Rik and Van Hoecke, Sofie},
  issn         = {0022-460X},
  journal      = {JOURNAL OF SOUND AND VIBRATION},
  keyword      = {ALGORITHM,RECOGNITION,DIAGNOSIS},
  language     = {eng},
  pages        = {331--345},
  publisher    = {ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD},
  title        = {Convolutional neural network based fault detection for rotating machinery},
  url          = {http://dx.doi.org/10.1016/j.jsv.2016.05.027},
  volume       = {377},
  year         = {2016},
}

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