Fault diagnosis of reciprocating compressors using revelance vector machines with a genetic algorithm based on vibration data

M. Ahmed, A. Smith, F. Gu, A. D. Ball. Fault diagnosis of reciprocating compressors using revelance vector machines with a genetic algorithm based on vibration data. In 20th International Conference on Automation and Computing, ICAC 2014, Cranfield, Bedfordshire, United Kingdom, September 12-13, 2014. pages 164-169, IEEE, 2014. [doi]

@inproceedings{AhmedSGB14,
  title = {Fault diagnosis of reciprocating compressors using revelance vector machines with a genetic algorithm based on vibration data},
  author = {M. Ahmed and A. Smith and F. Gu and A. D. Ball},
  year = {2014},
  doi = {10.1109/IConAC.2014.6935480},
  url = {http://dx.doi.org/10.1109/IConAC.2014.6935480},
  researchr = {https://researchr.org/publication/AhmedSGB14},
  cites = {0},
  citedby = {0},
  pages = {164-169},
  booktitle = {20th International Conference on Automation and Computing, ICAC 2014, Cranfield, Bedfordshire, United Kingdom, September 12-13, 2014},
  publisher = {IEEE},
}