Design of a steady-state detector for fault detection and diagnosis of a residential air conditioner
Minsung Kim, Seok H. Yoon, Piotr A. Domanski, William V. Payne
This paper presents a general methodology for developing a steady-state detector for a vapor compression system based on a moving window and using standard deviations of seven measurements selected as features. The feature thresholds and optimized moving window size were based upon steady-state no-fault tests and startup transient tests. The study showed that evaporator superheat and condenser subcooling were sufficient for determining the onset of steady-state during the startup transient. However, they misidentified steadystate during indoor temperature change tests where evaporator saturation temperature and air temperature change across the evaporator were needed for proper steady-state identification. Hence, the paper recommends including all fault detection and diagnosis (FDD) features in the steady-state detector to ensure the robustness of the detector because different features may play key roles with different transients.
, Yoon, S.
, Domanski, P.
and Payne, W.
Design of a steady-state detector for fault detection and diagnosis of a residential air conditioner, International Journal of Refrigeration, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=861614
(Accessed December 7, 2023)