Patent · US Active

Vehicle health management using a counterfactual machine learning model to optimize maintenance parameters

US12288425B2 · kind B2 · utility

0Cited by
2References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJun 1, 2022
Grant dateApr 29, 2025
Priority date
Expiry dateJan 24, 2043

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG07C5/0841
  • WIPO fieldControl
  • WIPO sectorInstruments

Abstract

A method, apparatus, system, and computer program product for managing a platform. A computer system generates a training dataset comprising historical metric values from historical sensor information for a set of metrics for a part and historical maintenance events for the part. The computer system trains a machine learning model using the training dataset. The computer system determines different maintenance thresholds for maintenance parameters for a metric in the set of metrics for performing maintenance on the part using the machine learning model trained with the training dataset. The computer system selects maintenance thresholds for the maintenance parameters from the maintenance thresholds meeting an objective to form a maintenance plan. The maintenance plan is used to determine when a maintenance action is needed for the part.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.