# US 2022/0035362 A1 · Learned model generation method > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2022/0035362 A1 - Document ID: US20220035362A1 - Status: Published application - Kind: A1 - Application number: 17/506,295 - Filed: 2021-10-20 - Published: 2022-02-03 - Earliest claimed: 2019-04-22 - Assignees: Panasonic Intellectual Property Management Co., Ltd. - Applicants: Panasonic Intellectual Property Management Co., Ltd. - Inventors: Shinya HATAKENAKA - Web page: https://patentgrep.com/patent/US20220035362A1 ## CPC - G05B 23/0283: {Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL] (preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06)} - G05B 19/4183: {characterised by data acquisition, e.g. workpiece identification} - G06N 20/00: Machine learning - H01M 10/04: Construction or manufacture in general (H01M10/058, H01M10/12, H01M10/28, H01M10/38 take precedence) - H01M 10/058: Construction or manufacture - Y02E 60/10: Energy storage using batteries - Y02P 70/50: Manufacturing or production processes characterised by the final manufactured product - G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - H01M: PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY - Y02E: REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION - Y02P: CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS ## Abstract A learned model generation method involves: outputting, when it is determined that the sequence of the positions of a first end surface of a first sheet material indicated by first data intersects with the sequence of the positions of a second end surface of a second sheet material indicated by second data, information indicating that a roll is defective and that the defect is caused by a first feed reel or a first affixing roller; and generating a facility state diagnosis model by using the first data and the second data read before preservation of the first feed reel when it is determined that a first difference between a first defect rate of the roll before the preservation of the first feed reel and a second defect rate of the roll after the preservation of the first feed reel is equal to or larger than a prescribed value. ## Claims ### Claim 1 A method of generating a learned model for maintenance of a production apparatus, the production apparatus including: a first supply reel configured to supply a first electrode sheet; a second supply reel configured to supply a second electrode sheet; a first bonding roller provided on a first electrode sheet side; a second bonding roller provided on a second electrode sheet side and paired with the first bonding roller, the second bonding roller being configured to bond the first electrode sheet and the second electrode sheet together; a winding core around which the first electrode sheet and the second electrode sheet bonded together are wound; and a sensor configured to read a first end surface of the first electrode sheet and a second end surface of the second electrode sheet along a radial direction of a roll member of the first electrode sheet and the second electrode sheet wound around the winding core, the method comprising: acquiring, from the sensor, first data representing a position of the first end surface read along the radial direction and second data representing a position of the second end surface read along the radial direction; outputting information indicating that the roll member has a defect and that a cause of the defect is the first supply reel or the first bonding roller to a display apparatus for maintenance when it is determined that a sequence of the position of the first end surface represented by the first data intersects a sequence of the position of the second end surface represented by the second data on a basis of the first data and the second data; and generating the learned model such that on a basis of the first data and the second data before and after maintenance of the first supply reel, when it is determined that a first difference between a first defect rate of the roll member before the maintenance of the first supply reel and a second defect rate of the roll member after the maintenance of the first supply reel is smaller than a predetermined value, the first data and the second data read before the maintenance of the first supply reel are not used for the generating of the learned model, whereas when it is determined that the first difference is equal to or greater than the predetermined value, the first data and the second data read before the maintenance of the first supply reel are used for the generating of the learned model. ### Claim 2 (depends on 1) The method according to claim 1, wherein on a basis of the first data and the second data before and after maintenance of the first bonding roller, when it is determined that a second difference between a third defect rate of the roll member before the maintenance of the first bonding roller and a fourth defect rate of the roll member before the maintenance of the first bonding roller is smaller than a predetermined value, the first data and the second data read before the maintenance of the first bonding roller are not used for the generating of the learned model, whereas when it is determined that the second difference is equal to or greater than the predetermined value, the first data and the second data read before the maintenance of the first bonding roller are used for the generating of the learned model. ### Claim 3 (depends on 1) The method according to claim 1, wherein the first electrode sheet is a positive electrode sheet of a battery, and the second electrode sheet is a negative electrode sheet of the battery. ### Claim 4 (depends on 1) The method according to claim 1, wherein the first electrode sheet is a negative electrode sheet of a battery, and the second electrode sheet is a positive electrode sheet of the battery. ### Claim 5 A method of generating a learned model for maintenance of a production apparatus, the production apparatus including: a first supply reel configured to supply a first electrode sheet; a second supply reel configured to supply a second electrode sheet; a first bonding roller provided on a first electrode sheet side; a second bonding roller provided on a second electrode sheet side and paired with the first bonding roller, the second bonding roller being configured to bond the first electrode sheet and the second electrode sheet together; a winding core around which the first electrode sheet and the second electrode sheet bonded together are wound; and a sensor configured to read a first end surface of the first electrode sheet and a second end surface of the second electrode sheet along a radial direction of a roll member of the first electrode sheet and the second electrode sheet wound around the winding core, the method comprising: acquiring, from the sensor, first data representing a position of the first end surface read along the radial direction and second data representing a position of the second end surface read along the radial direction; outputting information indicating that the roll member has a defect and that a cause of the defect is the first supply reel or the first bonding roller to a display apparatus for maintenance when it is determined that a sequence of the position of the first end surface represented by the first data intersects a sequence of the position of the second end surface represented by the second data on a basis of the first data and the second data; and generating the learned model such that on a basis of the first data and the second data before and after maintenance of the first supply reel, when it is determined that a fifth defect rate of the roll member after the maintenance of the first supply reel is determined to be equal to or greater than a predetermined value, the first data and the second data read before the maintenance of the first supply reel are not used for the generating of the learned model, whereas when it is determined that the fifth defect rate is smaller than the predetermined value, the first data and the second data read before the maintenance of the first supply reel are used for the generating of the learned model. ### Claim 6 (depends on 5) The method according to claim 5, wherein on a basis of the first data and the second data after maintenance of the first bonding roller, when it is determined that a sixth defect rate of the roll member after the maintenance of the first bonding roller is equal to or greater than a predetermined value, the first data and the second data read before the maintenance of the first bonding roller are not used for the generating of the learned model, whereas when it is determined that the sixth defect rate is smaller than the predetermined value, the first data and the second data read before the maintenance of the first bonding roller are used for the generating of the learned model. ### Claim 7 (depends on 5) The method according to claim 5, wherein the first electrode sheet is a positive electrode sheet of a battery, and the second electrode sheet is a negative electrode sheet of the battery. ### Claim 8 (depends on 5) The method according to claim 5, wherein the first electrode sheet is a negative electrode sheet of a battery, and the second electrode sheet is a positive electrode sheet of the battery. ### Claim 9 A method of generating a learned model for maintenance of a production apparatus, the production apparatus including: a first supply reel configured to supply a first electrode sheet; a second supply reel configured to supply a second electrode sheet; a first bonding roller provided on a first electrode sheet side; a second bonding roller provided on a second electrode sheet side and paired with the first bonding roller, the second bonding roller being configured to bond the first electrode sheet and the second electrode sheet together; a winding core around which the first electrode sheet and the second electrode sheet bonded together are wound; and a sensor configured to read a first end surface of the first electrode sheet and a second end surface of the second electrode sheet along a radial direction of a roll member of the first electrode sheet and the second electrode sheet wound around the winding core, the method comprising: acquiring, from the sensor, first data representing a position of the first end surface read along the radial direction and second data representing a position of the second end surface read along the radial direction; generating a learned model for determining that a cause of a defect of the roll member is the first supply reel or the first bonding roller when it is determined that a sequence of the position of the first end surface represented by the first data intersects a sequence of the position of the second end surface represented by the second data on a basis of the first data and the second data; outputting information indicating that the cause of the defect is the first supply reel or the first bonding roller to a display apparatus for maintenance on a basis of a determination using the learned model; and updating the learned model such that when it is determined that a first difference between a first probability that the defect of the roll member is improved and a second probability that the defect of the roll member is improved is smaller than a predetermined value, the first data and the second data read before the maintenance of the first supply reel are not used for the updating of the learned model, whereas when it is determined that the first difference is equal to or greater than the predetermined value, the first data and the second data before the maintenance of the first supply reel are used for the updating of the learned model, the first probability being obtained by inputting the first data and the second data before the maintenance of the first supply reel to the learned model, the second probability being obtained by inputting by the first data and the second data after the maintenance of the first supply reel to the learned model. ### Claim 10 (depends on 9) The method according to claim 9, wherein the learned model is updated such that when it is determined that a second difference between a third probability that the defect of the roll member is improved and a fourth probability that the defect of the roll member is improved is smaller than a predetermined value, the first data and the second data read before the maintenance of the first bonding roller are not used for the updating of the learned model, whereas when it is determined that the second difference is equal to or greater than the predetermined value, the first data and the second data before the maintenance of the first bonding roller are used for the updating of the learned model, the third probability being obtained by inputting the first data and the second data before the maintenance of the first bonding roller to the learned model, the fourth probability being obtained by inputting by the first data and the second data after the maintenance of the first bonding roller to the learned model ### Claim 11 (depends on 9) The method according to claim 9, wherein the first electrode sheet is a positive electrode sheet of a battery, and the second electrode sheet is a negative electrode sheet of the battery. ### Claim 12 (depends on 9) The method according to claim 9, wherein the first electrode sheet is a negative electrode sheet of a battery, and the second electrode sheet is a positive electrode sheet of the battery.