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Fault diagnosis and refrigerant leak detection in vapour compression refrigeration systems.

Diagnóstico de las anomalías y detección de frutas de frigorígeno en los sistemas frigoríficos a compresión de vapor.

Author(s) : TASSOU S. A., GRACE I. N.

Type of article: Periodical article

Summary

This article is the Spanish translation of an article published in the International Journal of Refrigeration (see Bulletin of the IIR, reference 2005-1763). The environmental impact of refrigeration systems can be reduced by operation at higher efficiency and reduction of refrigerant leakage. Refrigerant loss contributes both directly and indirectly to global warming through inefficient system operation, increased power consumption and greenhouse gas emissions and higher maintenance costs. Existing sensor-based leak detection methods are limited by the inability to detect gradual leakage and the need for careful sensor location. There is a requirement for a real-time performance monitoring approach to leak detection and fault diagnosis which overcomes these disadvantages. This paper reports on the development of a fault diagnosis and refrigerant leak detection system based on artificial intelligence and real-time performance monitoring. The system has been used successfully to distinguish between faulty and fault free operation, steady-state and transient operation, leakage and over charge conditions. Work currently underway is aimed at testing additional fault conditions and establishing further rules to distinguish between these patterns.

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Format PDF

Pages: 24-34 (9 p.)

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Details

  • Original title: Diagnóstico de las anomalías y detección de frutas de frigorígeno en los sistemas frigoríficos a compresión de vapor.
  • Record ID : 2007-0601
  • Languages: Spanish
  • Source: IIF-IIR/Frío Calor Aire acond. - vol. 34 - n. 381
  • Publication date: 2006/05

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