Development of the Reference Model for a Residential Heat Pump System for Cooling Mode Fault Detection and Diagnosis.
Development of the Reference Model for a Residential
Heat Pump System for Cooling Mode Fault Detection and
Diagnosis.
(593 K)
Kim, M.; Yoon, S. H.; Payne, W. V.; Domanski, P. A.
International Journal of Refrigeration,
Sponsor:
Korea Institute of Machinery and Materials, Daejeon
305-343, Korea
Keywords:
heat pumps; residential buildings; cooling; fault trees;
neural networks; steady state; tests; temperature; air
conditioning
Abstract:
Development of a reference model to predict the value of
system parameters during fault free operation is a basic
step for fault detection and diagnosis (FDD). In order
to develop an accurate and effective reference model of
a heat pump system, experimental data that cover a wide
range of operating conditions are required. In this
study, laboratory data were collected under various
operating conditions and then filtered through a moving
window steady-state detector. Over sixteen thousand
scans of steady-state data were used to develop
polynomial regression models of seven system features
using three independent variables. The reference model
was also developed using an artificial neural network
(ANN), and its advantages and disadvantages are
discussed. The models were evaluated, and the root mean
square error for each model was calculated and compared
Building and Fire Research Laboratory
National Institute of Standards and Technology
Gaithersburg, MD 20899