LOAD ITEM DETECTION USING MOTOR DATA

原文（中国語）

Hard-to-dry items are detected in a laundry load. Drum motor data is captured from a motor powering a rotating drum of a laundry appliance. Moving range (MR) and standard deviation (STD) are determined from the drum motor data. A hard-to-dry item model is used to predict presence or absence of heavy and/or hard-to-dry items in the laundry load, the hard-to-dry item model being determined using a nominal logistic regression of at least the MR and STD of the drum motor data in situations having presence or absence of heavy and/or hard-to-dry items. Cycle parameters for a cycle of operation of the laundry appliance are updated based on the prediction by the hard-to-dry item model of presence or absence of heavy and/or hard-to-dry items.