Bootstrap data methodology for sequential hybrid model building
First Claim
1. A method for modeling engine operation comprising the steps of:
- 1. inputting a first plurality of sensory data from a gas turbine engine into a computer;
2. partitioning a flight envelope into a plurality of sub-regions according to the steps of;
3. selecting a first sensory parameter and a second sensory parameter,4. plotting each of said first plurality of sensory data by using said first sensory parameter as a first axis and said second sensory parameter as a second axis, and5. dividing said first axis and said second axis into a plurality of subdivisions to create a grid comprising a plurality of sub-regions;
6. assigning said first plurality of sensory data into said plurality of sub-regions;
7. generating an empirical model of at least one of said plurality of sub-regions;
8. generating a statistical summary model for at least one of said plurality of sub-regions;
9. inputting an additional plurality of sensory data from said gas turbine engine into said computer;
10. partitioning said second plurality of sensory data into said plurality of sub-regions;
11. generating a plurality of pseudo-data using said empirical model;
12. concatenating said plurality of pseudo-data and said additional plurality of sensory data; and
13. outputting using said computer an updated empirical model and an updated statistical summary model for at least one of said plurality of sub-regions.
4 Assignments
0 Petitions
Accused Products
Abstract
A method for modeling engine operation comprising the steps of: 1. collecting a first plurality of sensory data, 2. partitioning a flight envelope into a plurality of sub-regions, 3. assigning the first plurality of sensory data into the plurality of sub-regions, 4. generating an empirical model of at least one of the plurality of sub-regions, 5. generating a statistical summary model for at least one of the plurality of sub-regions, 6. collecting an additional plurality of sensory data, 7. partitioning the second plurality of sensory data into the plurality of sub-regions, 8. generating a plurality of pseudo-data using the empirical model, and 9. concatenating the plurality of pseudo-data and the additional plurality of sensory data to generate an updated empirical model and an updated statistical summary model for at least one of the plurality of sub-regions.
-
Citations
14 Claims
-
1. A method for modeling engine operation comprising the steps of:
-
1. inputting a first plurality of sensory data from a gas turbine engine into a computer; 2. partitioning a flight envelope into a plurality of sub-regions according to the steps of; 3. selecting a first sensory parameter and a second sensory parameter, 4. plotting each of said first plurality of sensory data by using said first sensory parameter as a first axis and said second sensory parameter as a second axis, and 5. dividing said first axis and said second axis into a plurality of subdivisions to create a grid comprising a plurality of sub-regions; 6. assigning said first plurality of sensory data into said plurality of sub-regions; 7. generating an empirical model of at least one of said plurality of sub-regions; 8. generating a statistical summary model for at least one of said plurality of sub-regions; 9. inputting an additional plurality of sensory data from said gas turbine engine into said computer; 10. partitioning said second plurality of sensory data into said plurality of sub-regions; 11. generating a plurality of pseudo-data using said empirical model; 12. concatenating said plurality of pseudo-data and said additional plurality of sensory data; and 13. outputting using said computer an updated empirical model and an updated statistical summary model for at least one of said plurality of sub-regions. - View Dependent Claims (2, 3, 4, 5, 6, 7, 12)
-
-
8. A method for modeling engine operation comprising the steps of:
- inputting a first plurality of sensory data from a gas turbine engine into a computer;
partitioning a flight envelope into a plurality of sub-regions according to the steps of; selecting a first sensory parameter and a second sensory parameter, plotting each of said first plurality of sensory data by using said first sensory parameter as a first axis and said second sensory parameter as a second axis, and dividing said first axis and said second axis into a plurality of subdivisions to create a grid comprising a plurality of sub-regions; assigning said first plurality of sensory data into said plurality of sub-regions; generating an empirical model of a portion of said plurality of sensory data; generating a statistical summary model for said portion of said plurality of sensory data; inputting an additional plurality of sensory data from said gas turbine engine into said computer; generating a plurality of pseudo-data using said empirical model; concatenating said plurality of pseudo-data and said additional plurality of sensory data; and outputting using said computer an updated empirical model and an updated statistical summary model for at least a portion of said sensory data. - View Dependent Claims (9, 10, 11)
- inputting a first plurality of sensory data from a gas turbine engine into a computer;
-
13. An apparatus for modeling engine operation comprising:
-
means for inputting a first plurality of sensory data from a gas turbine engine into a computer; means for partitioning said first plurality of sensory data into a plurality of sub-regions, said means for partitioning comprising the following; means for selecting a first sensory parameter and a second sensory parameter, means for plotting each of said first plurality of sensory data by using said first sensory parameter as a first axis and said second sensory parameter as a second axis, and means for dividing said first axis and said second axis into a plurality of subdivisions to create a grid comprising a plurality of sub-regions; means for generating an empirical model of at least one of said plurality of sub-regions; means for generating a statistical summary model for at least one of said plurality of sub-regions; means for inputting an additional plurality of sensory data from said gas turbine engine into said computer; means for partitioning said second plurality of sensory data into said plurality of sub regions; means for generating a plurality of pseudo-data using said empirical model; means for concatenating said plurality of pseudo-data and said additional plurality of sensory data; and outputting using said computer an updated empirical model and an updated statistical summary model for at least one of said plurality of sub-regions.
-
-
14. A method of constructing an empirical model, comprising the steps of:
-
1. inputting a first plurality of sensory data from a gas turbine engine into a computer; 2. partitioning an operating envelope into a plurality of sub-regions according to the steps of; 3. selecting a first sensory parameter and a second sensory parameter, 4. plotting each of said first plurality of sensory data by using said first sensory parameter as a first axis and said second sensory parameter as a second axis, and 5. dividing said first axis and said second axis into a plurality of subdivisions to create a grid comprising a plurality of sub-regions; 6. assigning said first plurality of sensory data into said plurality of sub-regions; 7. generating an empirical model of at least one of said plurality of sub-regions; 8. generating a statistical summary model for at least one of said plurality of sub-regions; 9. inputting an additional plurality of sensory data from said gas turbine engine into said computer; 10. partitioning said second plurality of sensory data into said plurality of sub-regions; 11. generating a plurality of pseudo-data using said empirical model; 12. concatenating said plurality of pseudo-data and said additional plurality of sensory data; and 13. outputting using a computer an updated empirical model and an updated statistical summary model for at least one of said plurality of sub-regions.
-
Specification