A washing machine appliance, including one or more methods of operation, is provided herein. The washing machine appliance includes a wash basket rotatably mounted within a wash tub and being supported by a front bearing and a rear bearing. A method of operating the washing machine appliance includes rotating the wash basket within the wash tub at a basket speed and obtaining a front displacement amplitude, a rear displacement amplitude, and a wobble angle of the wash tub. Based at least in part on these measured values, front and rear bearing force amplitude thresholds and virtual bearing force values are calculated and compared. If the virtual bearing force value of either the front or rear bearing exceeds the respective bearing force amplitude threshold, an operating parameter of the washing machine appliance is adjusted to limit bearing forces resulting from out-of-balance loads.

A washing machine includes a water storage tank, a vibration sensor provided to the water storage tank, a washing tub rotatably disposed in the water storage tank and configured to accommodate laundry therein, a motor configured to rotate the washing tub, and a controller. The controller is configured to: measure an unbalance (UB) value based on rotating the washing tub during a dewatering stroke; control the motor to stop rotating the washing tub based on the UB value exceeding an allowable UB value included in a preset UB table; measure a dewatering time of the laundry and a vibration value during the dewatering stroke using the vibration sensor; and change the allowable UB value included in the preset UB table based on the dewatering time and the vibration value.

A laundry treating appliance and method of operating a laundry treating appliance that includes wetting the laundry load in a drum according to a selected cycle of operation and determining a magnitude of imbalance of the wetted laundry load. A controller of the laundry treating appliance is configured to determine a first extraction speed for rotating the drum based on the magnitude of imbalance.

A laundry treating appliance and method of operating a laundry treating appliance that includes wetting the laundry load in a drum according to a selected cycle of operation and determining a magnitude of imbalance of the wetted laundry load. A controller of the laundry treating appliance is configured to determine a first extraction speed for rotating the drum based on the magnitude of imbalance.

A washing machine appliance, including one or more methods of operation, is provided herein. The washing machine appliance includes a wash basket rotatably mounted within a wash tub and being supported by a front bearing and a rear bearing. A method of operating the washing machine appliance includes rotating the wash basket within the wash tub at a basket speed and obtaining a front displacement amplitude, a rear displacement amplitude, and a wobble angle of the wash tub. Based at least in part on these measured values, front and rear bearing force amplitude thresholds and virtual bearing force values are calculated and compared. If the virtual bearing force value of either the front or rear bearing exceeds the respective bearing force amplitude threshold, an operating parameter of the washing machine appliance is adjusted to limit bearing forces resulting from out-of-balance loads.

A dynamic imbalance detection system capable of whether a washing machine is in a dynamically imbalanced position by using big data and executing an AI algorithm or a machine learning algorithm in a 5G communications network environment built for IoT. The system includes a washing machine and a server communicating with the washing machine. The washing machine includes a vibration sensor attached to a washing machine cabinet and a controller receiving a vibration signal detected by the vibration sensor during the operation of the washing machine and processing the vibration signal into vibration data. The server receives the vibration data from the controller and trains a machine learning algorithm on a training dataset that is obtained by processing one or more features among a displacement magnitude, a displacement ratio, and a displacement phase, and determines result values of dynamic balance and dynamic imbalance labeled with the one or more features.

A method for controlling a home appliance in consideration of a state of a surrounding environment is disclosed. A method for controlling a home appliance according to an exemplary embodiment of the present disclosure includes operating a home appliance using a first operation profile, identifying at least one of a behavior type of a user or a type of sound around the user, using Internet of Things (IoT) communication using 5G communication and artificial intelligence (AI), and changing an operation profile for operating a home appliance to a second operation profile, based on at least one of the identified behavior type of the user or type of sound around the user. According to the present disclosure, in accordance with the state of the surrounding environment, the operation noise can be reduced or the operation time of the home appliance can reduced without increasing the discomfort of the user, and therefore the discomfort of the user due to the operation noise can be relieved.

A laundry treating appliance having a tub, rotatable drum, at least one transmitter coil, at least one ring shaped housing on the drum perimeter and having an annular channel therein and at least one balancing unit disposed in the channel. The balancing unit has a receiver coil configured to receive wireless power from the transmitter coil and an actuator powered by the receiver coil, a sensing element to detect a position of the balancing unit in the housing, a balancing control unit configured to control the positioning of the balancing unit by driving the transmitter coil to send power to the receiver coil to operate the actuator on a friction force element to change the friction between the housing and the balancing unit.

A laundry treating appliance having a tub, rotatable drum, at least one transmitter coil, at least one ring shaped housing on the drum perimeter and having an annular channel therein and at least one balancing unit disposed in the channel. The balancing unit has a receiver coil configured to receive wireless power from the transmitter coil and an actuator powered by the receiver coil, a sensing element to detect a position of the balancing unit in the housing, a balancing control unit configured to control the positioning of the balancing unit by driving the transmitter coil to send power to the receiver coil to operate the actuator on a friction force element to change the friction between the housing and the balancing unit.

Disclosed herein is a washing machine capable of appropriately identifying the presence or absence of waterproof clothing. The washing machine includes a cabinet, an outer tub elastically supported on the inside of the cabinet, an inner tub rotatably provided inside of the water tub, a motor configured to rotate the inner tub, a vibration sensor provided in the outer tub, a rotation sensor provided in the motor; and a at least one processor electrically connected to the vibration sensor, the rotation sensor and the motor and configured to control a rotation speed of the motor based on a vibration of the outer tub detected by the vibration sensor and a rotation of the motor detected by the rotation sensor.