US 12,085,927 B2
Computer program product, industrial installation, method and apparatus for determining or predicting a position of a web break
Konrad Moritz Grießinger, Karlsruhe (DE); and Sarah Osterburg, Berlin (DE)
Assigned to SIEMENS AKTIENGESELLSCHAFT, Munich (DE); and SIEMENS ENERGY GLOBAL GMBH & CO. KG, Munich (DE)
Appl. No. 17/433,280
Filed by Siemens Aktiengesellschaft, Munich (DE); and Siemens Energy Global GmbH & Co. KG, Munich (DE)
PCT Filed Feb. 24, 2020, PCT No. PCT/EP2020/054783
§ 371(c)(1), (2) Date Aug. 24, 2021,
PCT Pub. No. WO2020/173880, PCT Pub. Date Sep. 3, 2020.
Claims priority of application No. 19159055 (EP), filed on Feb. 25, 2019.
Prior Publication US 2022/0147033 A1, May 12, 2022
Int. Cl. D21F 7/04 (2006.01); B65H 26/02 (2006.01); G05B 23/02 (2006.01)
CPC G05B 23/0221 (2013.01) [B65H 26/025 (2013.01); D21F 7/04 (2013.01); G05B 23/0272 (2013.01)] 17 Claims
 
1. A method for determining and predicting a position of a web break of a fibrous material web which has occurred or is imminent in an industrial installation having a plurality of rollers, the rollers which are rotatably coupled to a motor transport the fibrous material web in the industrial installation, the method comprising first steps of:
providing and optionally storing parameters, each parameter being associated with at least one roller;
performing a check to determine whether a parameter has a temporal progression which corresponds to a specifiable distribution comprising a normal distribution;
performing a check of a further parameter to determine whether the further parameter has a temporal progression which corresponds to the specifiable distribution, if the temporal progression of a respective parameter corresponds to the specifiable distribution; and
performing a check of the temporal progression of the respective parameter for a first deviation if the temporal progression of the further parameter does not correspond to the specifiable distribution;
the method furthering comprising second steps of:
determining a second deviation of at least one parameter or a temporal change of the respective parameter; and
comparing at least one of (i) the respective parameter and (ii) a respective temporal change of the respective parameter with a specifiable limit value in each case;
wherein the first deviation is at least one of (i) recognized and (ii) associated with at least one roller for the web break of the fibrous material web that has occurred or is imminent aided by a learning-capable algorithm;
wherein the first deviation of the respective parameter is determined with the first steps and the second deviation is determined with the aid of the second steps;
wherein a first position of the web break which is imminent or has occurred is determined aided by the first deviation; and
wherein a second position of the web break which has occurred or is imminent is determined aided by the second deviation, a relevant position being displayed to a user if the first position and second positions match.