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Integration of on-line and off-line diagnostic algorithms for aircraft engine health management
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Kobayashi, Takahisa Simon, Donald L. |
| Copyright Year | 2007 |
| Description | This paper investigates the integration of on-line and off-line diagnostic algorithms for aircraft gas turbine engines. The on-line diagnostic algorithm is designed for in-flight fault detection. It continuously monitors engine outputs for anomalous signatures induced by faults. The off-line diagnostic algorithm is designed to track engine health degradation over the lifetime of an engine. It estimates engine health degradation periodically over the course of the engine s life. The estimate generated by the off-line algorithm is used to update the on-line algorithm. Through this integration, the on-line algorithm becomes aware of engine health degradation, and its effectiveness to detect faults can be maintained while the engine continues to degrade. The benefit of this integration is investigated in a simulation environment using a nonlinear engine model. |
| File Size | 401734 |
| Page Count | 17 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20070031718 |
| Archival Resource Key | ark:/13960/t1fj7f85n |
| Language | English |
| Publisher Date | 2007-09-01 |
| Access Restriction | Open |
| Subject Keyword | Aircraft Propulsion And Power Systems Health Monitoring Engine Inlets Gas Turbine Engines On-line Systems Aircraft Engines Systems Integration Degradation Algorithms Fault Detection Inlet Pressure Nonlinearity Sensors Kalman Filters Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
