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A statistical, rule-based fault detection and diagnostic method for vapor compression air conditioners.

Author(s) : ROSSI T. M., BRAUN J. E.

Type of article: Article

Summary

This method only requires temperature measurements, and one humidity measurement. The differences between measured thermodynamic states and predicted states obtained from models for normal performance (residuals) are used as performance indices for both fault detection and diagnosis. For fault detection, statistical properties of the residuals for current and normal operation are used to classify the current operation as faulty or normal. A diagnosis is performed by comparing the directional change of each residual with a generic set of rules unique to each fault.

Details

  • Original title: A statistical, rule-based fault detection and diagnostic method for vapor compression air conditioners.
  • Record ID : 1998-0458
  • Languages: English
  • Source: HVAC&R Research - vol. 3 - n. 1
  • Publication date: 1997/01
  • Document available for consultation in the library of the IIR headquarters only.

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