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International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)

By
Chen Ming
Chen Ming
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ISBN:
9780791859902
No. of Pages:
1400
Publisher:
ASME Press
Publication date:
2011

As analysis of data has become an important basis of aircraft condition monitoring. Recently, the paper introduces a means for fault diagnosis based on cluster analysis, which can dig the application value further. In this paper, five important parameters about one system of the aircraft are selected and the feature of these parameters is extracted by the method of K-means cluster analysis. Then the fuzzy C-means cluster analysis is used to classify different patterns. Finally, the membership function we get can be used to identify the working condition of this system of the aircraft.

Abstract
Keywords:
Introduction
Fault Diagnoses Based on Analysis of Data
Conclusions
References
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