A Parametric Investigation of the Diagnostic Ability of Probabilistic Neural Networks on Turbofan Engines

@inproceedings{Romessis2001API,
  title={A Parametric Investigation of the Diagnostic Ability of Probabilistic Neural Networks on Turbofan Engines},
  author={C. Romessis and Anastassios G. Stamatis and Konstantinos Mathioudakis},
  year={2001}
}
Fault identification through the use of Artificial Neural Networks has become very popular recently. Probabilistic Neural Networks (PNN) is one of the architectures, which have mostly been investigated for gas turbine diagnostics. In this paper, the influence of parameters related to the structure and training on the diagnostic performance of a probabilistic Neural Network (PNN), is investigated. In particular, the parametric investigation examines the effect of the training set on the… CONTINUE READING

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