A system and method for labelling normal and abnormal regions in data related to a paper machine for web break prediction and labelling individual parameters for root cause analysis, using machine learning models, includes using the machine learning models in real-time to predict breaks in the paper web, analyzing root cause for the breaks in the paper web, and estimating a time to break. An auto-data-labeling framework helps in adaptive learning for autonomous model improvement of the deployed model, transfer learning, shortlisting parameters and automating feasibility study.

A quality estimation system comprises a process model specific for at least a portion of the paper production process and including material portion representors being virtual representations of material portions within the continuous flow of material being processed. Each of the representors comprises at least one quality attribute for the respective material portion. Monitoring the process comprises determining, using a sensor, measured quantities of the material being processed and associating respective time stamps with the measured quantities. The monitoring further comprises determining, for each of the measured quantities with the time stamps, an associated material portion, and an associated position within the associated material portion. The monitoring further comprises, determining, for a selected material portion, the at least one quality attribute based on the measured quantities to which the selected portion is associated and on the associated position within the selected portion, and outputting the at least one quality attribute.

A method of producing a microfibrillated cellulose. MFC. film from an MFC dispersion, comprises subjecting a wet MFC film (F) on a support to at least one drying step to form a dry MFC film (F). measuring at least one parameter indicative of a concentration of at least one component, such as an additive or an impurity, and performing at least one of the tasks: i) adjusting at least one production parameter which influences the concentration of said at least one component in response to said at least one parameter. and ii) recording said at least one parameter for each of said data points to provide a chemical map of the dry MFC film (F). comprising a plurality of data points which are each associated with a respective position on the dry MFC film (F).

A fiber processing system includes a fiber processing unit having an inlet, accepts outlet, and solid discharge outlet and configured to remove solid contaminants from a fiber-containing stream to produce an accepts stream exiting the accepts outlet and a solid discharge stream exiting the solid discharge outlet. The fiber processing system includes an optical system having an imaging device and image processing system. The imaging device is configured to capture images of the solid discharge stream at or downstream of the solid discharge outlet, and the image processing system is configured to determine relative fiber content, a relative generation rate, types of materials in, or combinations thereof of the solid discharge stream from the captured images. The fiber content, generation rate, and/or types of materials of the solid discharge stream are used to control operation of the fiber processing system or other upstream pulp processing equipment.