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Evaluation of fault detection and diagnosis techniques for application in HVAC systems.

Author(s) : STYLIANOU M., LEGAULT A.

Summary

Notes the indoor air quality improvements and reduced energy costs that would result from improved fault detection and diagnosis of HVAC systems. Points out that currently it is not possible to detect errors in sensors, degradation in equipment performance and problems with actuators. Describes the types of fault in HVAC systems, and different types of fault detection and diagnosis including analytical redundancy methods and artificial intelligence-based methods. Deals with their drawbacks. Concludes that the use of a hybrid artificial intelligence-based technique would seem to offer the flexibility required for the development of fault detection and diagnosis.

Details

  • Original title: Evaluation of fault detection and diagnosis techniques for application in HVAC systems.
  • Record ID : 1994-1081
  • Languages: English
  • Publication date: 1992/10
  • Source: Source: Proc. int. Jacques Cartier Conf., Montr.
    513-520; 6 fig.; 13 ref.
  • Document available for consultation in the library of the IIR headquarters only.

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