Abstract: A laundry treating appliance for treating laundry items according to a cycle of operation includes a chassis defining an interior. A rotatable treating chamber is located within the interior. An antenna is configured to receive RFID data from RFID tags on the laundry items and outputs a signal indicative of the RFID data. A controller receives the signal from the antenna and is configured to process the signal and to suggest, alter, or implement the cycle of operation based on the signal.

Abstract: A method includes receiving, from one or more sensors associated with manufacturing equipment, current trace data associated with producing, by the manufacturing equipment, a plurality of products. The method further includes performing signal processing to break down the current trace data into a plurality of sets of current component data mapped to corresponding component identifiers. The method further includes providing the plurality of sets of current component data and the corresponding component identifiers as input to a trained machine learning model. The method further includes obtaining, from the trained machine learning model, one or more outputs indicative of predictive data and causing, based on the predictive data, performance of one or more corrective actions associated with the manufacturing equipment.

Abstract: A method includes receiving, from one or more sensors associated with manufacturing equipment, current trace data associated with producing, by the manufacturing equipment, a plurality of products. The method further includes performing signal processing to break down the current trace data into a plurality of sets of current component data mapped to corresponding component identifiers. The method further includes providing the plurality of sets of current component data and the corresponding component identifiers as input to a trained machine learning model. The method further includes obtaining, from the trained machine learning model, one or more outputs indicative of predictive data and causing, based on the predictive data, performance of one or more corrective actions associated with the manufacturing equipment.

Abstract: A power screw mechanism comprising a drive screw, a main shaft, and a clutch disposed between the drive screw and the main shaft. The clutch is configured to provide a frictional engagement between the drive screw and main shaft within a first range of torques applied to the drive screw, such that rotation of the drive screw causes rotation of the main shaft over the first range of torques. The clutch is further configured to slip out of frictional engagement between the drive screw and main shaft within a second range of torques applied to the drive screw, such that rotation of the drive screw does not cause rotation of the main shaft over the first range of torques. The second range of torques is greater in magnitude than the first range of torques.