초록 ▼

A model-based trending process for a gas turbine engine that generates, in real-time, engine trend parameters from engine sensor data and ambient flight condition data to assess engine condition is described. The engine includes a plurality of sensors that are responsive to engine operations. The tr

A model-based trending process for a gas turbine engine that generates, in real-time, engine trend parameters from engine sensor data and ambient flight condition data to assess engine condition is described. The engine includes a plurality of sensors that are responsive to engine operations. The trending process is implemented using a commercially available processor coupled to the engine to monitor the engine operations, and having the desired processing speed and capacity. Engine health parameters are estimated and adjusted in a model for component diagnostics and fault detection and isolation. The trend parameters generated are retained.

대표청구항 ▼

1. Apparatus for trending gas turbine engine operation, the engine having a plurality of sensors responsive to engine operations, said apparatus comprising a processor programmed to: obtain engine sensor data and ambient flight condition data; generate and normalize engine trend parameters using

1. Apparatus for trending gas turbine engine operation, the engine having a plurality of sensors responsive to engine operations, said apparatus comprising a processor programmed to: obtain engine sensor data and ambient flight condition data; generate and normalize engine trend parameters using the engine sensor data and ambient flight condition data; adjust engine component efficiencies and flow functions to account for engine faults, engine quality, and engine deterioration effects. 2. Apparatus in accordance with claim 1 wherein to generate and normalize trend parameters, said processor further programmed to use an engine model to generate and normalize trend parameters. 3. Apparatus in accordance with claim 1 wherein said processor further programmed to generate and normalize engine trend parameters in real-time. 4. Apparatus in accordance with claim 1 wherein said processor further programmed to estimate sensed parameters and computed virtual sensor parameters using an engine model. 5. A Apparatus in accordance with claim 1 wherein said processor further programmed to retain the trend parameters generated. 6. Apparatus in accordance with claim 1 wherein said processor further programmed to use at least one of a physics-based, regression-fit, or a neural-net engine model to normalize engine trend parameters. 7. A trending system for trending operation of a gas turbine engine, the engine having a plurality of sensors responsive to engine operations, said system comprising: an engine model unit coupled to receive engine sensor data and ambient flight condition data input from the sensors; and a processor programmed to generate and normalize engine trend parameters using the engine sensor data and ambient flight condition data obtained, wherein engine component efficiencies and flow functions in said engine model unit are adjusted to account for engine faults, engine quality, and engine deterioration effects. 8. A system in accordance with claim 2 wherein said processor further programmed to generate and normalize engine trend parameters in real-time during engine operation. 9. A system in accordance with claim 3 wherein said engine model is at least one of a physics-based, regression-fit, or a neural-net engine model. 10. A system in accordance with claim 3 wherein said processor further programmed to use a parameter estimation algorithm to adjust engine component efficiencies and flow functions. 11. A system in accordance with claim 10 wherein the parameter estimation algorithm is at least one of a linear regression scheme or a Kalman filter.