US 11,656,615 B2
Methods for detecting fan anomalies with built-in usage and sensory data
Wei Zhou, Louisville, KY (US); and Robert John Zanelli, Louisville, KY (US)
Assigned to Haier US Appliance Solutions, Inc., Wilmington, DE (US)
Filed by Haier US Appliance Solutions, Inc., Wilmington, DE (US)
Filed on Nov. 30, 2020, as Appl. No. 17/106,991.
Prior Publication US 2022/0171379 A1, Jun. 2, 2022
Int. Cl. G05B 23/02 (2006.01); G06F 16/22 (2019.01); G06N 20/00 (2019.01); G05B 19/4155 (2006.01)
CPC G05B 23/0283 (2013.01) [G05B 19/4155 (2013.01); G06F 16/2228 (2019.01); G06N 20/00 (2019.01); G05B 2219/50333 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of detecting anomalies of a fan within an appliance, the appliance comprising a heating assembly configured to provide heat for cooking, the method comprising:
connecting a service computer to the appliance such that data from the appliance is transmittable to the service computer;
receiving, at the service computer, data indicative of usage of the fan cooling the heating assembly during cooking;
analyzing the data indicative of usage of the fan with a machine learning model on the service computer; and
flagging the fan for replacement when the machine learning model on the service computer detects an anomaly in the data indicative of usage of the fan.