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Sensor fault diagnosis of aero-engine based on divided flight status.
- Source :
- Review of Scientific Instruments; 2017, Vol. 88 Issue 11, p115007-1-115007-6, 6p, 1 Diagram, 10 Graphs
- Publication Year :
- 2017
-
Abstract
- Fault diagnosis and safety analysis of an aero-engine have attracted more and more attention in modern society, whose safety directly affects the flight safety of an aircraft. In this paper, the problem concerning sensor fault diagnosis is investigated for an aero-engine during the whole flight process. Considering that the aero-engine is always working in different status through the whole flight process, a flight status division-based sensor fault diagnosis method is presented to improve fault diagnosis precision for the aero-engine. First, aero-engine status is partitioned according to normal sensor data during the whole flight process through the clustering algorithm. Based on that, a diagnosis model is built for each status using the principal component analysis algorithm. Finally, the sensors are monitored using the built diagnosis models by identifying the aero-engine status. The simulation result illustrates the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]
- Subjects :
- DETECTORS
AIRPLANE motors
AERONAUTICS
ALGORITHMS
SIMULATION methods & models
Subjects
Details
- Language :
- English
- ISSN :
- 00346748
- Volume :
- 88
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Review of Scientific Instruments
- Publication Type :
- Academic Journal
- Accession number :
- 126531862
- Full Text :
- https://doi.org/10.1063/1.5000105