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US Patent 11853863 Predictive maintenance of automotive tires

Patent 11853863 was granted and assigned to Micron Technology on December, 2023 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Micron Technology
Micron Technology
1
Current Assignee
Micron Technology
Micron Technology
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
118538631
Patent Inventor Names
Robert Richard Noel Bielby1
Poorna Kale1
Date of Patent
December 26, 2023
1
Patent Application Number
165381211
Date Filed
August 12, 2019
1
Patent Citations
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US Patent 9288270 Systems for learning user preferences and generating recommendations to make settings at connected vehicles and interfacing with cloud systems
1
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US Patent 9594894 System and method for enabling a camera used with an electronic device using detection of a unique motion
1
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US Patent 9779562 System for automatically characterizing a vehicle
1
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US Patent 9802571 Method and system for vandalism and/or loitering detection using video
1
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US Patent 9963012 Personalizing vehicular comfort settings for a specific user
1
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US Patent 10013773 Neural networks for object detection
1
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US Patent 10036341 Method and device for operating a drive system for a motor vehicle including an acceleration monitoring system
1
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US Patent 10242665 Controller systems and methods of limiting the operation of neural networks to be within one or more conditions
1
...
Patent Citations Received
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US Patent 12061971 Predictive maintenance of automotive engines
2
Patent Primary Examiner
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Abdhesh K Jha
1
Patent abstract

Systems, methods and apparatus of predictive maintenance of automotive tires. For example, a vehicle has: a tire and wheel assembly; one or more sensors configured on the tire and wheel assembly to measure operating parameters of the tire and wheel assembly; an artificial neural network configured to analyze the operating parameters of the tire and wheel assembly as a function of time to generate a result; and at least one processor configured to generate a suggestion for a maintenance service of the tire and wheel assembly based on the result from the artificial neural network analyzing the operating parameters of the tire and wheel assembly. For example, the sensors can be configured to measure a pressure of air in the tire, a temperature of the air in the tire, a speed of spinning of the wheel, a traction force or torque applied by the wheel on an axle of the vehicle, and/or vibration of the wheel.

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