Method and system for diagnosing an engine or an aircraft
Systems and methods for diagnosing an engine or an aircraft are described herein. Flight data of at least one of the engine and the aircraft is obtained. A graph-based representation modeling a mathematical relationship between parameters of at least one of the engine and the aircraft is obtained. The graph-based representation has a plurality of permutations. Output data for the plurality of permutations is generated based on the flight data. The output data for the plurality of permutations is compared and a fault is detected based on a discrepancy in the output data. A signal indicative of the fault is outputted in response to detecting the fault.
1. A method for diagnosing an engine or an aircraft, the method comprising:
obtaining flight data of at least one of the engine and the aircraft during operation of the engine on the aircraft;
obtaining a graph-based representation modeling a mathematical relationship between parameters of at least one of the engine and the aircraft, the mathematical relationship having a plurality of permutations;
using the graph-based representation to generate the plurality of permutations of the mathematical relationship;
generating output data for the plurality of permutations based on the flight data;
comparing the output data for the plurality of permutations to each other;
from comparing the output data, detecting a fault based on a discrepancy in the output data; and
outputting a signal indicative of the fault in response to detecting the fault.
2. The method of claim 1 , wherein comparing the output data comprises processing the output data to determine a statistical deviation in the output data.
3. The method of claim 2 , wherein detecting the fault comprises determining an input data source of the flight data causing the statistical deviation.
4. The method of claim 1 , wherein comparing the output data comprises processing the output data for the plurality of permutations with a machine-learning algorithm to detect the fault.
5. The method of claim 1 , further comprising determining a confidence score for the fault based on the discrepancy in the output data.
6. The method of claim 1 , wherein detecting the fault comprises determining that at least one engine or aircraft sensors is broken.
7. The method of claim 1 , wherein detecting the fault comprises determining that at least one engine or aircraft sensors is installed incorrectly.
8. The method of claim 1 , wherein detecting the fault comprises determining that the engine is installed incorrectly.
9. The method of claim 1 , wherein detecting the fault comprises determining that a flight maneuver was incorrectly performed.
10. The method of claim 1 , wherein obtaining the flight data comprises obtaining the flight data from a plurality of engine sensors and from at least one aircraft computer connected to a plurality of aircraft sensors.
11. A system for diagnosing an engine or an aircraft, the system comprising:
a processing unit; and
a non-transitory memory communicatively coupled to the processing unit and comprising computer-readable program instructions executable by the processing unit for:
obtaining flight data of at least one of the engine and the aircraft during operation of the engine on the aircraft;
obtaining a graph-based representation modeling a mathematical relationship between parameters of at least one of the engine and the aircraft, the mathematical relationship having a plurality of permutations;
using the graph-based representation to generate the plurality of permutations of the mathematical relationship;
generating output data for the plurality of permutations based on the flight data;
comparing the output data for the plurality of permutations to each other;
from comparing the output data, detecting a fault based on a discrepancy in the output data; and
outputting a signal indicative of the fault in response to detecting the fault.
12. The system of claim 11 , wherein comparing the output data comprises processing the output data to determine a statistical deviation in the output data.
13. The system of claim 12 , wherein detecting the fault comprises determining an input data source of the flight data causing the statistical deviation.
14. The system of claim 11 , wherein comparing the output data comprises processing the output data for the plurality of permutations with a machine-learning algorithm to detect the fault.
15. The system of claim 11 , wherein the computer-readable program instructions are further executable by the processing unit for determining a confidence score for the fault based on the discrepancy in the output data.
16. The system of claim 11 , wherein detecting the fault comprises determining that at least one engine or aircraft sensors is broken.
17. The system of claim 11 , wherein detecting the fault comprises determining that at least one engine or aircraft sensors is installed incorrectly.
18. The system of claim 11 , wherein detecting the fault comprises determining that the engine is installed incorrectly.
19. The system of claim 11 , wherein detecting the fault comprises determining that a flight maneuver was incorrectly performed.
20. The system of claim 11 , wherein obtaining the flight data comprises obtaining the flight data from a plurality of engine sensors and from at least one aircraft computer connected to a plurality of aircraft sensors.