Kim, M.
, Yoon, S.
, Domanski, P.
and Payne, W.
(2010),
Development of the Reference Model for a Residential Heat Pump System for Cooling Mode Fault Detection and Diagnosis, International Journal of Mechanical Sciences, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=861053
(Accessed December 12, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Development of the Reference Model for a Residential Heat Pump System for Cooling Mode Fault Detection and Diagnosis
Published
Author(s)
M Kim, , ,
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.Citation
International Journal of Mechanical Sciences
Pub Type
Journals
Download Paper
Keywords
artificial neutral network, heat pump fault detection, polynomial reference model
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created April 1, 2010, Updated October 12, 2021