Systems and methods for optimizing maintenance plans in the presence of sensor data

US11783301B2 · kind B2 · utility

Assignee

• The Boeing Company · US

Inventors

• Mohammad Mojtahedzadeh · Renton, US
• Robert Anthony Bernicchi · Bellevue, US
• Shervin Beygi · Seattle, US
• Karin Bauer · Oberhaching, DE
• Michael John Avendt · Tukwila, US

Key dates

• Filing date: Jan 2, 2019
• Grant date: Oct 10, 2023
• Expiry date: Sep 17, 2041

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02P90/80
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Systems and methods for generating a sensor driven optimized maintenance program are provided. A first maintenance plan for an apparatus type is received; the first maintenance plan defining maintenance tasks for the apparatus type and defining intervals at which the maintenance tasks are to be performed. Historical sensor data, historical scheduled maintenance data, and historical unscheduled maintenance data are received and correlated to determine a predictive value of the sensor data. One or more maintenance optimization objectives of an operator of an apparatus of the apparatus type are received, and the sensor driven optimized maintenance program is generated, based at least on the predictive value of the sensor data and the maintenance optimization objectives. The sensor driven optimized maintenance program includes an adjusted one of the defined intervals.