System and method for determining probabilistic burst
Systems and methods are provided herein that are useful to determining probabilistic burst for a component. In particular, the systems and methods generate an overspeed distribution for the component, the overspeed distribution being indicative of a probability that various overspeed values will be obtained. The method involves receiving field analytics data indicative of time the component spends in at least one operating condition and receiving overspeed data indicative of overspeed values for the component as a function of the at least one operating condition. The method further includes generating an overspeed distribution for the component based on the field analytics data and the overspeed data. A probability of burst for the component may then be determined based on the overspeed distribution.
1. A system for determining probabilistic burst for a component, the system comprising:
at least one processor configured to integrate an overlapping area of at least two distributions; and
a non-transitory memory device, the non-transitory memory device storing instructions that when executed by the at least one processor cause the at least one processor to:
receive field analytics data from at least one sensor associated with an aircraft, the field analytics data indicative of time the component spends in at least one operating condition, the field analytics data acquired under in-field operating conditions over the course of a flight of the aircraft;
receive overspeed data indicative of overspeed values for the component as a function of the at least one operating condition;
generate an overspeed distribution for the component based on the field analytics data and the overspeed data, the overspeed distribution providing a probability of overspeed as a function of overspeed value;
determine a probability parameter for the component by integrating an overlapping area between the overspeed distribution and a component capability distribution; and
deploy the component based on the probability parameter.
2. The system of claim 1 , wherein the component capability distribution is indicative of a likelihood that the component will withstand a particular speed without burst.
3. The system of claim 1 , wherein the at least one sensor is configured to record an operational parameter of the engine as a function of time to generate a flight profile, and wherein the field analytics data includes the flight profile.
4. The system of claim 2 , wherein the at least one processor is configured to generate the overspeed distribution by: identifying, based on the overspeed data, at least one particular operating condition where the component is at a particular overspeed value; summing, based on the field analytics data, an amount of time the component spends at the at least one particular operating condition to obtain a total amount of time spent at the at least one particular operating condition; and divide the total amount of time spent at the at least one particular operating condition by a total amount of time spent at all operating conditions.
5. The system of claim 1 , wherein the component is a turbine disk in a gas turbine engine or a part of a hybrid electric engine.
6. The system of claim 5 , wherein the at least one sensor is associated with the gas turbine engine or the hybrid electric engine.
7. The system of claim 5 , wherein the overspeed data is derived from a model of a control system or a point failure in the gas turbine engine.
8. The system of claim 5 , wherein the at least one operating condition includes at least one of Mach number or altitude.
9. The system of claim 1 , wherein the overspeed data is obtained from an engine model, the engine model predicting overspeed values as a result of a control system failure or a point failure of the component; and wherein the engine model predicts an overspeed value of the component as a function of the at least one operating condition of the component.
10. A computer-implemented method comprising:
executing, by a processor configured to integrate an overlapping area of at least two distributions, the executing including:
receiving, by the processor, field analytics data indicative of an amount of time a component of an engine of an aircraft spends in at least one operating condition, the field analytics data acquired from at least one sensor over the course of a flight of the aircraft;
receiving, by the processor, overspeed data indicative of overspeed values for the component as a function of the at least one operating condition;
generating, by the processor, an overspeed distribution for the component based on the field analytics data and the overspeed data, the overspeed distribution providing a probability of overspeed of the component as a function of an overspeed value;
determining, by the processor, a probability parameter for the component by integrating an overlapping area between the overspeed distribution and a component capability distribution; and
the method further comprising installing the component in a particular type of aircraft or engine based on the probability parameter.
11. The computer-implemented method of claim 10 , wherein the component capability distribution is indicative of a likelihood that the component will withstand a particular speed without burst.
12. The computer-implemented method of claim 10 , wherein the at least one sensor is configured to record an operational parameter of the engine as a function of time to generate a flight profile, and wherein the field analytics data includes the flight profile.
13. The computer-implemented method of claim 12 , wherein the component is a turbine disk in a gas turbine engine or a part of a hybrid electric engine.
14. The computer-implemented method of claim 13 , wherein the at least one sensor is associated with the gas turbine engine or the hybrid electric engine.
15. The computer-implemented method of claim 10 , further comprising, predicting, via an engine model, the overspeed value of the component.
16. The computer-implemented method of claim 15 , wherein the engine model predicts a probability of overspeed for the component as a function of the at least one operating condition.
17. The computer-implemented method of claim 16 , wherein the engine model predicts the probability of overspeed based on modeling control system failure or point failure of the component.
18. The computer-implemented method of claim 10 , wherein the method further includes:
receiving, by the processor, the component capability distribution, the component capability distribution providing a probability that the component will be capable of withstanding a particular speed without burst.
19. The computer-implemented method of claim 10 , further including:
adjusting at least one design parameter for the component based on the probability parameter.
20. A computer-implemented method comprising:
executing, by a processor configured to integrate an overlapping area of a component capability distribution and an overspeed distribution for a component, the component capability distribution providing a probability the component will with withstand a particular overspeed value without burst, the executing including:
receiving, by the processor, field analytics data indicative of an amount of time a component of an engine of an aircraft spends in at least one operating condition, the field analytics data received from at least one sensor over the course of a flight of the aircraft;
receiving, by the processor, overspeed data indicative of overspeed values for the component as a function of the at least one operating condition;
generating, by the processor, the overspeed distribution for the component by combining the field analytics data and the overspeed data, the overspeed distribution providing a probability of overspeed of the component as a function of overspeed value; and
determining, by the processor, a probability parameter for the component based on an integration of the overlapping area; and
adjusting controls for an engine via an engine control system based on the probability parameter.