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Publication Citation: Cooling Mode Fault Detection And Diagnosis Method For A Residential Heat Pump

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Author(s): Minsung Kim; Seok H. Yoon; William V. Payne; Piotr A. Domanski;
Title: Cooling Mode Fault Detection And Diagnosis Method For A Residential Heat Pump
Published: October 17, 2008
Abstract: Performance characteristics of a R410A residential unitary split heat pump equipped with a thermostatic expansion valve (TXV) were investigated in the cooling mode under no-fault and faulty conditions. An automated method of steady-state detection was developed to produce consistent collection of data for all tests. The no-fault test measurements were used to develop a multivariate polynomial reference model for those system features (temperatures) that varied the most when a single fault was imposed. The rule-based chart method of fault detection and diagnosis presented in this work requires knowledge of the variation of system features at steady-state and during transient operation. Knowledge of the transient variation of the various features is necessary to establish the size of the moving window used by the steady-state detector, which is a key part of our FDD method. Once the steady-state detector indicates that the important FDD features are steady, the difference in the moving window mean and the no-fault reference model values, feature residuals, are calculated using the no-fault reference model. A feature residual may have one of three values; positive or negative or neutral. The calculation of the neutral threshold value, ε, involves selecting a confidence level (for example 99 %) to avoid a false alarm. For a given confidence level, the calculation of the appropriate confidence interval involves determining the appropriate variances (uncertainty) associated with steady-state measurement variations, modeling, and lack of measurement repeatability. The techniques discussed are applied to a residential heat pump in the cooling mode with our results discussed herein.
Citation: NIST SP - 1087
Pages: 98 pp.
Keywords: fault detection and diagnosis; heat pump; polynomial reference model; probability distribution function; rule based chart
Research Areas: BFRL
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