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Machine learning for joint improvement

A machine learning model and jointing technology, applied in the field of joint prediction and improvement systems, to improve productivity and reduce non-operating time

Pending Publication Date: 2022-03-18
BRIDGESTONE AMERICAS TIRE OPERATIONS LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Manufacturing rigs can use a variety of joints to assemble tires

Method used

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  • Machine learning for joint improvement
  • Machine learning for joint improvement
  • Machine learning for joint improvement

Examples

Experimental program
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Embodiment Construction

[0018] The following is a more detailed description of various concepts related to methods, devices, and systems for improving joints using machine learning, and specific implementations of these methods, devices, and systems. The various concepts introduced above and discussed in more detail below can be implemented in any of a variety of ways.

[0019] The technical solutions relate to systems and methods for improving joints using machine learning. For example, a tire production line may include manufacturing equipment used to manufacture tires. Manufacturing rigs can use a variety of joints to assemble tires. The joint may be out of tolerance due to at least one parameter setting of the manufacturing equipment. Out-of-tolerance joints can trigger alarms on manufacturing equipment and delay operations, or if left undetected, produce defective tires or tires that are not constructed to specification. Additionally, detecting out-of-tolerance joints between each piece of ma...

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PUM

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Abstract

The invention provides a system and method for joint improved machine learning. The system may receive, from the one or more sensors, one or more values corresponding to manufacturing a tire by the one or more tire manufacturing equipment. The system may determine one or more metrics based on the one or more values. The system may generate a matrix based on the one or more values and the one or more metrics. The system may predict a value of a joint tolerance metric by inputting the matrix into a machine learning model. The system may determine a parameter of at least one piece of equipment for adjustment based on the value of the joint tolerance metric. The system may provide a command to adjust the piece equipment in response to the value of the joint tolerance metric.

Description

[0001] Cross references to related patent applications [0002] This application claims priority to U.S. Provisional Patent Application 62 / 873,303, filed July 12, 2019, the contents of which are incorporated herein by reference in their entirety. Background technique [0003] A manufacturing plant may use equipment and processes to manufacture or construct products or items. Efficiently manufacturing a product or item without defects or waste of resources can be challenging due to the complexity of the product or item being constructed and the tight tolerances or quality requirements placed on the finished product or item. Contents of the invention [0004] The technical solutions relate to systems and methods for improving joints using machine learning. For example, a tire production line may include manufacturing equipment used to manufacture tires. Manufacturing rigs can use a variety of joints to assemble tires. The joint may be out of tolerance due to at least one pa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B29D30/00G06N3/04G06N3/08G06N20/00
CPCB29D30/0061B29D30/005G06N3/084G06N20/00B29D2030/0066B29D2030/0055G06N3/045G06N3/082
Inventor K·R·纳普A·K·巴塔查尔吉
Owner BRIDGESTONE AMERICAS TIRE OPERATIONS LLC