Aspects of the present invention provide methods, systems, and/or the like for: (1) receiving current thermal imaging data for a portion of a paper web in the paper manufacturing process; (2) determining force data for the portion of the paper web; (3) processing, to produce a first data analysis result, current thermal imaging data, the force data, and paper profile data using a machine-learning model trained with respective historical thermal imaging data, respective historical force data, and respective paper profile data for each respective prior paper breakage event in a set of prior paper breakage events; (4) generating, based on the first data analysis result, a prediction as to an occurrence of the paper break on the portion of the paper web; (5) identifying a preventative action based on the prediction; and (6) facilitating performance of the preventative action.

Aspects of the present invention provide methods, systems, and/or the like for: (1) receiving current thermal imaging data for a portion of a paper web in the paper manufacturing process; (2) determining force data for the portion of the paper web; (3) processing, to produce a first data analysis result, current thermal imaging data, the force data, and paper profile data using a machine-learning model trained with respective historical thermal imaging data, respective historical force data, and respective paper profile data for each respective prior paper breakage event in a set of prior paper breakage events; (4) generating, based on the first data analysis result, a prediction as to an occurrence of the paper break on the portion of the paper web; (5) identifying a preventative action based on the prediction; and (6) facilitating performance of the preventative action.

Aspects of the present invention provide methods, systems, and/or the like for: (1) receiving current thermal imaging data for a portion of a paper web in the paper manufacturing process; (2) determining force data for the portion of the paper web; (3) processing, to produce a first data analysis result, current thermal imaging data, the force data, and paper profile data using a machine-learning model trained with respective historical thermal imaging data, respective historical force data, and respective paper profile data for each respective prior paper breakage event in a set of prior paper breakage events; (4) generating, based on the first data analysis result, a prediction as to an occurrence of the paper break on the portion of the paper web; (5) identifying a preventative action based on the prediction; and (6) facilitating performance of the preventative action.

The invention relates to a method, a computer program product and a machine vision system (30), comprising at least one lighting device (34), at least one image sensor (31 a-c) and a data processing device (32), the system in a first mode illuminating a first object (35) using a first type of illumination and capturing images of the first object at a first image capturing frequency, when the first object (35) is on a second object (33), transmitting the captured image data to the data processing device for analysis, and changing the system for monitoring the second object in a second mode, if absence of the first object on the second object is detected from the image data, wherein said at least one image sensor (31 a-c) is reconfigured to capture images at a second image capturing frequency from the second object.

A machine for dewatering and drying a paper, cardboard or other fibrous web, to which machine a fibrous stock suspension is fed which is formed at least partially from waste paper. The machine includes at least two press nips which are formed in each case by two press rolls, wherein a fibrous web runs through first press nip with a water absorbing dewatering belt on both sides. The fibrous web then runs through a second press nip with at least one other dewatering belt and a smooth impermeable transfer belt on both sides. A transfer belt transfers the fibrous web after second press nip to a belt in a downstream machine unit, e.g. dryer group. The dryer group allows the fibrous web to be guided in a serpentine manner alternatively over heated dryer cylinders and vacuum equipped guide rolls.

A method for operating a machine for producing and/or processing a material web, wherein a first drive unit is supplied by a converter with a current, a vibration propagating over the material web is captured via the first drive unit, the vibration is measured and transformed into a measurement signal that is examined for presence of a signature that differs from the basic waveform of the current, a web tear is thus identified if the signature propagating over the material web is missing during the evaluation of the electrical measurement signal, whereby no further sensors, in particular optical sensors, are required to capture the measurement signal, and the measurement also occurs independently of a torque, a speed or speed development of drive motors over time and, moreover, the detection of the web tear does not require a comparison measurement at the machine without a continuous material web.

A method for operating a machine for producing and/or processing a material web, wherein a first drive unit is supplied by a converter with a current, a vibration propagating over the material web is captured via the first drive unit, the vibration is measured and transformed into a measurement signal that is examined for presence of a signature that differs from the basic waveform of the current, a web tear is thus identified if the signature propagating over the material web is missing during the evaluation of the electrical measurement signal, whereby no further sensors, in particular optical sensors, are required to capture the measurement signal, and the measurement also occurs independently of a torque, a speed or speed development of drive motors over time and, moreover, the detection of the web tear does not require a comparison measurement at the machine without a continuous material web.

A computer program product, an industrial installation in particular a paper-making machine, an apparatus and method for predicting a position of a web break of a fibrous material web that has occurred or is imminent, wherein the method includes capturing parameters, in particular speeds of rollers for transporting the fibrous material web or a web tension thereof, where the parameters are advantageously stored in the form of time series, a self-learning algorithm is used to detect the imminent web break and to determine the position of the web break which is imminent and/or has occurred, where the basis for the detection or the determination is a deviation of the respective parameter, such as from a temporal mean of the respective parameter.

A computer program product, an industrial installation in particular a paper-making machine, an apparatus and method for predicting a position of a web break of a fibrous material web that has occurred or is imminent, wherein the method includes capturing parameters, in particular speeds of rollers for transporting the fibrous material web or a web tension thereof, where the parameters are advantageously stored in the form of time series, a self-learning algorithm is used to detect the imminent web break and to determine the position of the web break which is imminent and/or has occurred, where the basis for the detection or the determination is a deviation of the respective parameter, such as from a temporal mean of the respective parameter.

A method for operating a machine for producing and/or processing a material web, wherein a first drive unit is supplied by a converter with a current, a vibration propagating over the material web is captured via the first drive unit, the vibration is measured and transformed into a measurement signal that is examined for presence of a signature that differs from the basic waveform of the current, a web tear is thus identified if the signature propagating over the material web is missing during the evaluation of the electrical measurement signal, whereby no further sensors, in particular optical sensors, are required to capture the measurement signal, and the measurement also occurs independently of a torque, a speed or speed development of drive motors over time and, moreover, the detection of the web tear does not require a comparison measurement at the machine without a continuous material web.