A winding condition generating apparatus includes: an input unit; an output unit; and a condition calculation unit. A winding condition calculation unit includes a learning model created by machine learning using a combination of a winding parameter and a winding condition in producing a wound web that satisfies a target winding quality as training data, and calculates a winding condition of a new wound web using the learning model, from a winding parameter of a new wound web input through the input unit. The output unit outputs the winding condition. The winding parameter includes a web width, a web transport velocity, and a web winding length. The winding condition includes a tension of the web at the start of winding and a tension of the web at the end of winding.

A liquid ejecting device includes a heating unit configured to heat a medium transported in a state where liquid adheres to the medium, and a control unit configured to control the heating unit. The control unit determines whether the medium is wound downstream, in a transport direction, from an area heated by the heating unit. When the control unit determines that the medium is wound, the control unit controls the heating unit at a first heating set temperature, and, when the control unit determines that the medium is not wound, the control unit controls the heating unit at a second heating set temperature that is lower than the first heating set temperature.

A web handling system and method for controlling tension in a web of material is disclosed. For instance, the web handling system is particularly well suited for maintaining web tension within predefined setpoints during temporary interruptions in the process, such as during splicing operations. The web handling system includes an accumulator or festoon that accumulates amounts of the material as the material is being fed downstream. At least one guide roll within the festoon is coupled to a drive device, such as a motor. The system also includes at least one tension sensing device. The drive device accelerates or decelerates the guide roll based upon information obtained from the tension sensing device. In one embodiment, the system further includes an electronic gearing configuration between a roll of material being unwound and the guide roll within the festoon for better synchronization and further minimizing tension swings. The electronic gearing can include a diameter calculator for the roll of material being unwound based on speed feedback of a driven guide roll.

A winding condition generating apparatus includes: an input unit; an output unit; and a condition calculation unit. A winding condition calculation unit includes a learning model created by machine learning using a combination of a winding parameter and a winding condition in producing a wound web that satisfies a target winding quality as training data, and calculates a winding condition of a new wound web using the learning model, from a winding parameter of a new wound web input through the input unit. The output unit outputs the winding condition. The winding parameter includes a web width, a web transport velocity, and a web winding length. The winding condition includes a tension of the web at the start of winding and a tension of the web at the end of winding.

A winding condition generating apparatus includes: an input unit; an output unit; and a condition calculation unit. A winding condition calculation unit includes a learning model created by machine learning using a combination of a winding parameter and a winding condition in producing a wound web that satisfies a target winding quality as training data, and calculates a winding condition of a new wound web using the learning model, from a winding parameter of a new wound web input through the input unit. The output unit outputs the winding condition. The winding parameter includes a web width, a web transport velocity, and a web winding length. The winding condition includes a tension of the web at the start of winding and a tension of the web at the end of winding.

A medium winding device for winding a medium includes: a rotatable winding member; a driver configured to rotate the winding member to wind the medium around the winding member into a roll; a rotating friction member rotatably disposed upstream of the winding member in a conveying direction in which the medium is conveyed, the rotating friction member having a high friction member forming an outer surface of the rotating friction member, and being configured to apply tension to the medium when the medium is wound around the winding member; and a tension adjusting member connected to the rotating friction member and configured to maintain the tension applied to the medium constant.

A medium winding device for winding a medium includes: a rotatable winding member; a driver configured to rotate the winding member to wind the medium around the winding member into a roll; a rotating friction member rotatably disposed upstream of the winding member in a conveying direction in which the medium is conveyed, the rotating friction member having a high friction member forming an outer surface of the rotating friction member, and being configured to apply tension to the medium when the medium is wound around the winding member; and a tension adjusting member connected to the rotating friction member and configured to maintain the tension applied to the medium constant.

A method for monitoring a machine element in a paper finishing machine (10). The machine element mounted for rotation machine elements (16-19) equipped with a sensor assembly (24) measuring force or pressure, and a counter-pair (15, 20, 33, 44) for said machine element. The machine element is made to rotate against the counter-pair, a measurement signal (25) is generated between the machine element and the counter-pair with the sensor assembly, and recording a reference cross-directional profile (21) of force or pressure generated. Condition monitoring (38) of vibration with the reference profile is by comparison of current signals with the reference so as to detect periodic variation (39.1, 39.2) in the cross-directional pressure profile, and producing visual information (37) from the analysis for monitoring. The invention also relates to a corresponding system, a rotating machine element for the method or the system, and a computer program product.

A method for monitoring a machine element in a paper finishing machine (10). The machine element mounted for rotation machine elements (16-19) equipped with a sensor assembly (24) measuring force or pressure, and a counter-pair (15, 20, 33, 44) for said machine element. The machine element is made to rotate against the counter-pair, a measurement signal (25) is generated between the machine element and the counter-pair with the sensor assembly, and recording a reference cross-directional profile (21) of force or pressure generated. Condition monitoring (38) of vibration with the reference profile is by comparison of current signals with the reference so as to detect periodic variation (39.1, 39.2) in the cross-directional pressure profile, and producing visual information (37) from the analysis for monitoring. The invention also relates to a corresponding system, a rotating machine element for the method or the system, and a computer program product.

A computer implemented method for controlling a winding machine, wherein the winding machine includes at least a winder and a rewinder, and wherein the method includes determining the actual velocity of the winder during operation of the winding machine, performing signal processing of the determined actual velocity to extract a winder-related feature, where the signal processing includes subtracting a command velocity from the determined actual velocity, determining an envelope signal of a subtracted signal and filtering the envelope signal to preserve amplitude-related information, the method further includes using the filtered envelope signal as a winder-related feature and an as input for a trained machine learning algorithm, and executing the machine learning algorithm based on the winder-related feature and issuing an anomaly indicator as an output.