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Fault detection and diagnosis in chillers using artificial neural networks.

Author(s) : GU B., WANG Z. Y., JING B. Y.

Summary

By means of experiment, the symptoms of several failures, on the basis of a vapour-compression refrigeration system, were simulated. Failure examples have been built up according to the principles of an artificial neural network. Results show that fault detection and diagnosis in chillers using artificial neural networks is practical.

Details

  • Original title: Fault detection and diagnosis in chillers using artificial neural networks.
  • Record ID : 2006-1937
  • Languages: English
  • Source: Cryogenics and refrigeration. Proceedings of ICCR 2003.
  • Publication date: 2003/04/22

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