A clothes treatment apparatus for identifying a noise course in which abnormal noise occurs, the clothes treatment apparatus including: a frame forming a skeleton of a cabinet; a cover plate surrounding the frame to form an external appearance of the cabinet; a tub provided in the cabinet; a drum rotatably provided in the tub; a drum motor configured to rotate the drum; and a vibration sensor provided on the frame.

A washing machine includes a machine housing, a tub that is suspended on a plurality of support arms in the machine housing, and a washing drum that is rotatably mounted in the tub, at least one of the support arms being equipped with a force sensor, which generates a force measurement signal that is representative of the force acting upon the respective support arm. Moreover, the washing machine is equipped with a level sensor, which generates a level signal that is representative of the water level in the washing drum, and an electronic control unit that processes the force measurement signal and the level signal, and which is configured to control the sequence of a washing program of the washing machine in dependence on the force measurement signal and the level signal.

A control method of a laundry treating apparatus includes rotating a drum at a reference rotational speed that is lower or higher than a resonance rotational speed of the laundry treating apparatus; measuring the maximum displacements of tub front and rear surfaces and a phase difference between the maximum displacements during the rotation of the drum at the reference rotational speed; determining a front unbalance (UB) mass located in a drum front area, a rear UB mass located in a drum rear area, and an angle between the UB masses based on the maximum displacements and the phase difference; and accelerating a drum rotational speed to a target rotational speed that is higher than the reference rotational speed and the resonance rotational speed, when the front and rear UB masses are in a preset allowable mass range and an angle between the UB masses is in an allowable angle range.

A control method of a laundry treating apparatus includes rotating a drum at a reference rotational speed that is lower or higher than a resonance rotational speed of the laundry treating apparatus; measuring the maximum displacements of tub front and rear surfaces and a phase difference between the maximum displacements during the rotation of the drum at the reference rotational speed; determining a front unbalance (UB) mass located in a drum front area, a rear UB mass located in a drum rear area, and an angle between the UB masses based on the maximum displacements and the phase difference; and accelerating a drum rotational speed to a target rotational speed that is higher than the reference rotational speed and the resonance rotational speed, when the front and rear UB masses are in a preset allowable mass range and an angle between the UB masses is in an allowable angle range.

A method for operating a washing machine appliance includes flowing a volume of liquid into a tub, agitating articles within the tub for a first period, the tub containing the volume of liquid, and measuring movement of the tub during agitation of the articles within the tub, the tub containing the volume of liquid. The movement is measured using an accelerometer and a gyroscope. The method further includes agitating articles within the tub for a second period when the final measured movement is greater than an out-of-balance movement threshold, the tub containing the volume of liquid. The method further includes draining liquid from the tub when the final measured movement is less than the out-of-balance movement threshold, and spinning a basket after draining liquid from the tub.

A method for operating a washing machine appliance includes flowing a volume of liquid into a tub, and agitating articles within the tub for a first period and using a first agitation profile, the tub containing the volume of liquid. The method further includes measuring movement of the tub during agitation of the articles within the tub, wherein the step of measuring movement occurs after agitating articles within the tub for the first period and for an intermediate measurement period and using an intermediate agitation profile, and wherein the intermediate agitation profile is different from the first agitation profile. The method further includes agitating articles within the tub for a second period when the final measured movement is greater than an out-of-balance movement threshold. The method further includes draining liquid from the tub when the final measured movement is less than the out-of-balance movement threshold.

A method for operating a washing machine appliance includes flowing a volume of liquid into the tub, and agitating articles within the tub for a first period, the tub containing the volume of liquid. The method further includes draining a first portion of the volume of liquid from the tub, the first portion less than the volume flowed into the tub, wherein a sum of the first portion and a second portion of the volume of liquid remaining in the tub equals the volume. The method further includes measuring movement of the tub during agitation of the articles within the tub after draining the first portion of the volume of liquid from the tub, wherein the step of measuring movement occurs after agitating articles within the tub for the first period and for an intermediate measurement period.

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 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 laundry treating apparatus is disclosed. In a washing step, the presence or absence of entangled laundry is detected using at least one of a vibration value of a drum, a current value applied to a drive unit, and an RPM value of the drum, and a step of untangling the entangled laundry is performed using at least one of a vibration value of a drum, a current value applied to a drive unit, and an RPM value of the drum.