20230080002. ACOUSTIC HEALTH USAGE AND MONITORING SYSTEM OF MECHANICAL AUTOMOTIVE SUBSYSTEMS simplified abstract (The MITRE Corporation)

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ACOUSTIC HEALTH USAGE AND MONITORING SYSTEM OF MECHANICAL AUTOMOTIVE SUBSYSTEMS

Organization Name

The MITRE Corporation

Inventor(s)

Alexander Joseph Angilella of Lexington MA (US)

Justin Edward Tufariello of Concord MA (US)

Leslie Allison Riesenhuber of Great Falls VA (US)

Paul Francis Kelley of Westwood MA (US)

Jesse Moore of Boston MA (US)

ACOUSTIC HEALTH USAGE AND MONITORING SYSTEM OF MECHANICAL AUTOMOTIVE SUBSYSTEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20230080002 titled 'ACOUSTIC HEALTH USAGE AND MONITORING SYSTEM OF MECHANICAL AUTOMOTIVE SUBSYSTEMS

Simplified Explanation

The patent application describes a system, method, and computer program for detecting potentially unsafe wear levels in vehicle suspension systems.

  • The system receives acoustic signals from the vehicle suspension system.
  • The acoustic signals are processed to generate training data.
  • A predictive learning algorithm is trained using the training data to create a predictive wear model.
  • The processed acoustic signals are classified to indicate wear levels of the suspension system components.
  • The trained predictive wear model predicts wear levels of the suspension system and sends notifications to a cloud-based repository.
  • Fleets of driverless vehicles can continuously monitor wear levels to schedule timely maintenance before failure occurs.

Potential Applications

  • Vehicle manufacturers can use this technology to enhance the safety and reliability of their vehicles.
  • Fleet management companies can utilize this system to optimize maintenance schedules and reduce downtime.
  • Driverless vehicle operators can ensure the longevity and performance of their vehicles by monitoring wear levels.

Problems Solved

  • This technology addresses the challenge of detecting potentially unsafe wear levels in vehicle suspension systems.
  • It helps prevent unexpected failures and accidents by providing timely notifications for maintenance.

Benefits

  • Improved safety and reliability of vehicles by detecting wear levels in suspension systems.
  • Optimized maintenance schedules to reduce downtime and increase efficiency.
  • Cost savings by preventing major failures and minimizing repair expenses.


Original Abstract Submitted

disclosed herein are system, method, and computer program product embodiments for detecting potentially unsafe wear levels in vehicle suspension systems. an embodiment operates by receiving acoustic signals of a vehicle suspension system, processing, the acoustic signals to generate training data, training a predictive learning algorithm to generate a predictive wear model and classifying the processed acoustic signals to indicate wear levels of one or more components of the vehicle suspension system. the trained predictive wear model subsequently predicts wear levels of the vehicle suspension system for notification to a cloud-based repository. fleets of driverless vehicles may continuously monitor wear levels for timely maintenance before failure occurs.

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