Format

Send to

Choose Destination
Rev Sci Instrum. 2017 Nov;88(11):115007. doi: 10.1063/1.5000105.

Sensor fault diagnosis of aero-engine based on divided flight status.

Author information

1
College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China.
2
College of Aerospace Engineering, Civil Aviation University of China, Tianjin 300300, China.

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.

PMID:
29195375
DOI:
10.1063/1.5000105

Supplemental Content

Full text links

Icon for American Institute of Physics
Loading ...
Support Center