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Hybrid kalman filter: a new approach for aircraft engine in-flight diagnostics
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Kobayashi, Takahisa Simon, Donald L. |
| Copyright Year | 2006 |
| Description | In this paper, a uniquely structured Kalman filter is developed for its application to in-flight diagnostics of aircraft gas turbine engines. The Kalman filter is a hybrid of a nonlinear on-board engine model (OBEM) and piecewise linear models. The utilization of the nonlinear OBEM allows the reference health baseline of the in-flight diagnostic system to be updated to the degraded health condition of the engines through a relatively simple process. Through this health baseline update, the effectiveness of the in-flight diagnostic algorithm can be maintained as the health of the engine degrades over time. Another significant aspect of the hybrid Kalman filter methodology is its capability to take advantage of conventional linear and nonlinear Kalman filter approaches. Based on the hybrid Kalman filter, an in-flight fault detection system is developed, and its diagnostic capability is evaluated in a simulation environment. Through the evaluation, the suitability of the hybrid Kalman filter technique for aircraft engine in-flight diagnostics is demonstrated. |
| File Size | 2747240 |
| Page Count | 26 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20070002904 |
| Archival Resource Key | ark:/13960/t6547pg4h |
| Language | English |
| Publisher Date | 2006-12-01 |
| Access Restriction | Open |
| Subject Keyword | Aircraft Propulsion And Power Fault Detection Systems Health Monitoring Linearity Nonlinear Filters Engine Inlets Gas Turbine Engines Nonlinearity Mathematical Models Standard Deviation Aircraft Engines Kalman Filters Ntrs Nasa Technical Reports ServerĀ (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |