A method of operating a pair of laundry appliances is provided. The pair of laundry appliances includes a washing machine appliance and a dryer appliance. The method includes determining a first moisture extraction curve of a spin cycle of the washing machine appliance and determining a second moisture extraction curve of the dryer appliance. The method further includes rotating a basket of the washing machine appliance at an extraction speed for a predetermined period of time. The predetermined period of time is based on the first moisture extraction curve and the second moisture extraction curve.

A laundry appliance includes a basket rotatably mounted within a tub, a motor assembly for selectively rotating the basket, and a wash fluid dispenser for selectively providing a flow of wash fluid into the tub. A controller is configured to receive a command to initiate a self-clean cycle, determine that a cycle adjustment condition exists based at least in part on historical data related to the performance of self-clean cycles, generate a set of adjusted self-clean cycle parameters by adjusting an operating parameter of the self-clean cycle, and perform the self-clean cycle in accordance with the adjusted self-clean cycle parameters.

Disclosed is an electronic device. The electronic device comprises: a display and a processor, wherein, when at least one condition among the time required to treat an object and an object treatment completion time is input, the processor identifies a plurality of object treatment courses that comply with the condition, identifies the order of priority of the plurality of object treatment courses according to predetermined criteria, and controls the display to provide a list listing information about the plurality of object treatment courses on the basis of the identified order of priority, wherein the object treatment is a process in which an object is cleaned or dried by means of at least one among a cleaning operation and a drying operation.

A washing machine appliance may include a cabinet, a tub, a wash basket, and a controller. The tub may be positioned within the cabinet. The tub may define a tub outlet and a tub inlet. The wash basket may be rotatably mounted within the tub. The wash basket may define a chamber for receipt of articles for washing. The controller may be mounted to the cabinet and configured to initiate a washing operation. The washing operation may include flowing a volume of liquid to the tub, initiating a spin phase requiring rotation of the wash basket following flowing the volume of liquid to the tub, determining an out-of-balance (OOB) state within the wash basket, determining a user OOB preference following determining the OOB state, and adjusting the spin phase according to the determined user OOB preference.

A dryer is disclosed. The dryer includes a heat exchanger configured to remove moisture from air flowing and heat and discharge the moisture-removed air, a drum containing a material to be dried, a humidity sensor configured to detect a humidity of the air flowing from the drum, a fan configured to generate a flow of the air flowing along a flow path formed so that the air discharged from the heat exchanger flows to the heat exchanger via the drum and the humidity sensor, and a processor configured to determine a dried state of the material to be dried based on the humidity detected through the humidity sensor, and the humidity sensor is disposed at a position where a flow velocity of the air is equal to or higher than a predetermined velocity in the flow path formed between the drum and the heat exchanger.

Disclosed is an electronic device. The electronic device includes a memory storing information on a trained artificial intelligence model, a communication interface, and a processor configured to obtain recommended process information by using the artificial intelligence model and control the communication interface to transmit the obtained recommended process information to a washing related machine, and the processor is configured to, based on usage information of each of a plurality of washing related machines, group the plurality of washing related machines into a plurality of groups and obtain tendency information of a group to which the washing related machine belongs among the plurality of groups. The artificial intelligence model is trained based on the usage information received from the washing related machine and the obtained tendency information.

A method for detecting entrapment of an article between a laundry machine door and bellows, comprising: identifying a maximum startup motor torque value of the drum motor while accelerating the drum from a stop to a target rotation speed; identifying a maximum operating motor torque value while rotating the drum at the target rotation speed; comparing a difference between the maximum startup motor torque value and the maximum operating motor torque value to a predetermined torque difference value; and terminating operation if the difference exceeds the predetermined torque difference value. A laundry washing machine configured to perform the method is also provided.

A laundry system may include a washing machine appliance and a dryer appliance. The washing machine appliance may include a first controller configured to initiate a washing operation. The first controller may be configured store wash control information of a plurality of discrete washing operation occurrences of the washing machine appliance. The dryer appliance may include a second controller in operable communication with the first controller to receive one or more data signals therefrom. The second controller may be configured to initiate a drying operation. The first controller or the second controller may be configured to determine a combined load condition based on the wash control information of the plurality of discrete washing operation occurrences of the washing machine appliance. The second controller may be configured to adjust the drying operation according to the combined load condition.

A washing machine and a method of controlling the same are disclosed. The amount of laundry that is introduced into the washing machine is measured using gravity and inertia applied during the operation of the motor, whereby it is possible to precisely calculate the amount of laundry and to minimize the effects of the initial position of the laundry and the movement of the laundry. In addition, the current value of the motor that is operated is used to measure the amount of laundry without a sensor. Furthermore, the amount of laundry is measured at the rotational speed of the motor at which the laundry clings to the drum, whereby it is possible to minimize an error due to the movement of the laundry to thus improve accuracy. Moreover, it is possible to determine the amount of laundry within a short time. Consequently, it is easy to commence the spin-drying operation, thereby reducing washing time and saving energy.

A method of operating a laundry treatment appliance includes performing a selected laundry treatment operation on a laundry load in accordance with an original set of operating parameters, obtaining a feedback input from a user regarding a dryness level of the laundry load, adjusting at least one operating parameter of the original set of operating parameters, and generating a new set of operating parameters including the at least one adjusted operating parameter.