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US Patent 10504072 Predictive replacement for heavy machinery

Patent 10504072 was granted and assigned to Joy Global on December, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Joy Global
Joy Global
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Current Assignee
Joy Global
Joy Global
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
105040720
Patent Inventor Names
David Restum0
Wesley Taylor0
Date of Patent
December 10, 2019
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Patent Application Number
159925280
Date Filed
May 30, 2018
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Patent Citations
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US Patent 10316497 Metal tooth detection and locating
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US Patent 10008050 Methods and systems for providing a vehicle repair tip
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US Patent 10190289 Systems and methods for determining wear of a ground-engaging tool
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US Patent 10196799 Ground engaging tool
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US Patent 10339667 Method and apparatus for locating a wear part in an image of an operating implement
Patent Citations Received
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US Patent 12020419 Ground engaging tool wear and loss detection system and method
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US Patent 10929820 Predictive replacement for heavy machinery
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US Patent 11634893 Wear member monitoring system
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US Patent 11669956 Ground engaging tool wear and loss detection system and method
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US Patent 11869331 Ground engaging tool wear and loss detection system and method
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Patent Primary Examiner
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Jonathan M Dager
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Patent abstract

Systems and methods for predicting replacement of a component of an industrial machine. One system includes an electronic processor configured to determine a wear rate of the component based on a current dimension of the component and historical dimensions of the component and determine a replacement cost for the component. Determining the replacement cost includes determining a cost of downtime for replacing the component based on a time for replacing the component and a downtime cost for the industrial machine during the time for replacing the component, a material cost in replacing the component, and an operating cost of the industrial machine associated with not replacing the component. The electronic processor is also configured to determine a replacement recommendation for the component based on the wear rate, the replacement cost, and discard criteria and output the replacement recommendation.

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