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COP-based decision tree for fault detection and diagnosis in single-door refrigerating appliances.

Number: 2108

Author(s) : SENGER G. A., SILVEIRA A. S., RONZONI A. F., HERMES C. J. L.

Summary

This work advances a technique for fault detection and diagnosis (FDD) in single-door refrigerating appliances based on a heuristic decision tree developed on thermodynamic grounds. Four faults were considered, namely condenser fouling, evaporator frosting, refrigerant leakage, and non-condensable gas contamination. The experiments were carried out using an ice cream display cabinet fully instrumented with pressure transducers, temperature sensors, and power meters. To ensure practical applicability in real appliances, the FDD algorithm was devised to rely on minimal instrumentation and data, therefore requiring only three additional temperature sensors in addition to the electric variables available from the compressor motor driver. Moreover, only two setup tests conducted at the minimum and maximum surrounding air temperatures with the system operating under no-fault condition were required. The approach was devised based on real time estimation of a normalized COP and validated using experimental data obtained for three different surrounding air temperatures (20°C, 25°C and 32°C) with single faults imposed. As the result, an average accuracy higher than 90% was achieved while rejecting false positives such as door openings and defrosting operations.

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  • Original title: COP-based decision tree for fault detection and diagnosis in single-door refrigerating appliances.
  • Record ID : 30032975
  • Languages: English
  • Source: 2024 Purdue Conferences. 20th International Refrigeration and Air-Conditioning Conference at Purdue.
  • Publication date: 2024/07/17

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