Predicting the life of consumable components
AssigneeAirbus Operations GmbH
InventorsJonathan Cooper, Matthew Gadd
Life of this patent
Estimating the term…
Abstract
A component life prediction system configured to predict the remaining life of a consumable component installed on an aircraft. The system includes a processor configured to: receive wear information indicative of a current wear state of the component; receive schedule information indicative of a future flight schedule for the aircraft; and determine the remaining life of the component based on the received wear information and the received schedule information.
Claims21
A component life prediction system configured to predict a remaining life of a consumable component installed on an aircraft, the system comprising:
- a processor configured to:
- receive wear information indicative of a current wear state of the consumable component;
- receive schedule information indicative of a future flight schedule for the aircraft;
- wherein the future flight schedule includes a plurality of future flight cycles of the aircraft and the schedule information includes a departure airport and an arrival airport for each of the future flight cycles, and
- determine the remaining life of the consumable component based on the received wear information and the received schedule information.
A component life prediction system configured to predict a remaining life of a consumable component installed on an aircraft, the system comprising:
- a processor configured to:
- receive wear information indicative of a current wear state of the consumable component;
- receive schedule information indicative of a future flight schedule for the aircraft;
- determine the remaining life of the consumable component based on the received wear information and the received schedule information, and
- derive one or more secondary schedule parameters based on the received schedule information, wherein the one or more secondary schedule parameters comprises any one or more of:
- flight duration, departure time of day, departure day of the week, and departure week of the month.
A component life prediction system configured to predict a remaining life of a consumable component installed on an aircraft, the system comprising:
- a processor configured to:
- receive wear information indicative of a current wear state of the consumable component;
- receive schedule information indicative of a future flight schedule for the aircraft;
- and
- determine the remaining life of the consumable component using a machine learning algorithm which receives as inputs the received wear information and the received schedule information,
- wherein the machine learning algorithm has been trained using historical wear information indicative of a wear state of the consumable component over a historical time period and historical schedule information indicative of the flight schedule of the aircraft during the historical time period, and each type of the historical information comprises a plurality of sets of parameters, each set of the parameters corresponding to a historical flight cycle of the aircraft.
A method of predicting the remaining service life of a consumable aircraft component, the method comprising:
- receiving wear data relating to a current wear state of the consumable aircraft component;
- receiving flight schedule data relating to planned flights of an aircraft comprising the consumable aircraft component, wherein the flight scheduling data includes a departure airport and an arrival airport for each of the planned flights;
- and
- estimating the remaining service life of the consumable aircraft component, based on the received wear data and the received flight schedule data.
Dependencies are inferred from the claim text.