Patent classifications
D06F103/24
Method for detecting and correcting out of balance conditions in a washing machine appliance
A method of operating a washing appliance includes obtaining images of a wash chamber using a camera assembly operating at a frame rate equivalent to the basket speed. The one or more images are analyzed, e.g., using a machine learning image recognition process, to determine a cloth coverage ratio of the load of clothes in the wash basket. The cloth coverage ratio is compared to a predetermined coverage threshold for reducing out of balance conditions. Specifically, if the cloth coverage area is greater than the threshold, the wash basket may be ramped up to a hold or plaster speed. By contrast, if the cloth coverage area is less than the threshold, the basket speed may be maintained or lowered to permit the clothes to redistribute before ramping to the hold or plaster speed.
Method of using image recognition processes for improved operation of a laundry appliance
A washing machine appliance includes a wash basket that is rotatably mounted within a wash tub and that defines a wash chamber for receiving a load of clothes. A basket speed sensor monitors the speed of the wash basket and a camera assembly is mounted within the wash tub for taking images of the load of clothes during and/or after a wash or rinse cycle. A controller determines the basket speed, adjusts a frame rate of the camera assembly to match the basket speed, obtains a still image from the camera assembly, analyzes the image using a machine learning image recognition process to determine a remaining moisture content (RMC) of the load of clothes, and adjusts at least one operating parameter of the washing machine appliance based on the remaining moisture content, e.g., such as ending the drain cycle when a target RMC is reached.
Dryer and method for operating a dryer
A disclosed dryer includes a receptacle configured to contain material to be dried, an air duct configured to route recirculating air and/or fresh air to the receptacle, a heating device configured to heat the recirculating air, and at least one sensor. The sensor is configured to determine a relative humidity and/or temperature, and the air duct includes at least one adjusting element configured to modify a portion of recirculating air routed to the receptacle. The dryer further includes a control or regulating device configured to control or regulate the portion of recirculating air routed to the receptacle and/or a heating capacity of the heating device during a drying process. A disclosed method includes controlling a portion of recirculating air routed to the receptacle and/or a heating capacity of the heating device. Further, a mixture of recirculating air and fresh air are varied during heat-up, drying, and cool-down phases.
Autonomous laundry washing and drying devices, systems, and methods of use
An autonomous system for washing and drying household laundry includes a plurality of autonomous combination washer and dryers each including a perforated drum disposed within a tub mated thereto at a drive end opposite an opening. A first air orifice is disposed through the tub. A detachable door includes a second air orifice configured to receive an air conduit such that air flows through the first and second air orifices during a drying cycle while the door seals the opening. A controller is configured to instruct a drive motor to spin the drum about a spin axis extending between the drive end and the opening. A driven carrier in operable communication with the controller slides along a raised rail disposed adjacent the plurality autonomous combination washer and dryers and retrieves, holds, and reseats a door in an opening of one of the plurality of autonomous combination washer and dryers.
Determining a state of a domestic appliance
A method is disclosed comprising inter alia a method comprising: acquiring at least one set of sensor data, wherein the at least one set of sensor data is acquired from at least one sensor; determining evaluation data indicative of a condition of a treatment chamber of a household appliance, wherein the evaluation data is determined based at least in part on the acquired set of sensor data; and outputting or causing the output of the determined evaluation data. Furthermore, a device for executing and/or controlling this method, a system with several devices for controlling and/or executing this method and a computer program for executing and/or controlling this method are disclosed.
Laundry treating apparatus and online system comprising same
The present invention relates to a clothing processing device which, when using artificial intelligence or an algorithm provided by artificial intelligence, can cause a user to visually recognize same, and an online system comprising same.
System and method for advanced electronic starting switch assembly for split-phase induction motors for domestic dryers
An electronic starting switch assembly and control methods for a dryer having a split-phase induction motor. The assembly comprises a microcontroller unit (MCU) configured to execute a control method that dynamically manages the motor's operation by monitoring the forward magnitude current. The MCU determines a stabilized startup forward magnitude current and calculates a crossover condition, allowing for precise control of the motor's transition to single-phase operation by disconnecting the auxiliary winding and connecting the heater element based on real-time forward magnitude current analysis and processing. The system can also monitor for overload conditions indicative of rotor speed drops and can re-engage the auxiliary winding to maintain motor performance. The assembly includes a housing with a heat-sink for efficient thermal management and environmental protection of electronic components. The disclosed method provides a robust solution for efficient dryer operation by ensuring accurate control of motor start-up, running conditions, and overload protection.
Method for operating a washing machine, and washing machine
A washing machine and method for operating a washing machine having a suds container for holding washing liquid, a non-ribbed drum provided with stamped portions rotatably mounted in the suds container for holding laundry, a motor for driving the drum, and a control device. During rotation of the drum in a subcritical rotational speed range, the method includes sampling a variable related to the drum or the motor over a predetermined period of time to determine time signals of the variable, executing a frequency analysis of the time signal of the variable to determine frequency components of the variable in a predetermined frequency range, summing the frequency components at predetermined frequencies of the predetermined frequency range, and detecting, depending on the sum of the summed up frequency components, whether a loading situation where laundry is sliding in the drum is present.
Laundry appliance drum motor fault detection using a camera and artificial intelligence
A laundry appliance includes a camera for determining whether the drum is rotating during operation of the appliance. A controller is operably coupled to the camera. The controller is configured for obtaining one or more images of the drum during operation of the appliance. An artificial intelligence image recognition process is used to perform image classification and determine whether a drum rotation fault has occurred. In the event of a drum rotation fault, operation of the laundry appliance is adjusted.
Method for operating an automatic washing machine, and automatic washing machine
A washing machine and method for operating a washing machine having a suds container and a non-ribbed drum. During rotation of the drum in a subcritical rotational speed range, the method includes determining an average value, a minimum, and a maximum of an oscillation of a physical variable relating to the drum or the motor, forming an overall average value from the determined average values, subtracting the overall average value formed from the corresponding minimum determined per oscillation and the corresponding maximum determined per oscillation to calculate a maximum value and a minimum value per oscillation, respectively. In each case an amount is formed from the respective calculated maximum value and an amount is formed from the respective calculated minimum value, a standard deviation from the amounts is determined, and a loading situation where laundry is rolling in the drum is determined based on the determined standard deviation.