Application of Clustering Analysis Algorithm in Sorting Stochastic Vibration Environment Measured Data

Abstract:

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Environment measurement technology of aircraft platform is the foundation of environment prediction, while inductive technology of environment measurement data is the support of environment prediction. To analysis how the vibration of different channel and in different position affect the equipment on board, it’s awfully needed to classify the vibration data of aircraft platform according to how was the aircraft flying and where was the sensor placed. However, the traditional method for categorizing gives the sort first, and then make certain if one sample belongs to this category, which is easy to withstand the influence of man-made factors. As it hard to fix the categories first for the vibration on aircraft platform, we put forward using clustering analysis into the categorizing of vibration measured data to eliminate the influence of man-made factors. This method is the improvement of the current inductive method for vibration environment measured data.

Info:

Periodical:

Edited by:

Zhou Mark

Pages:

1433-1437

DOI:

10.4028/www.scientific.net/AMM.52-54.1433

Citation:

H. J. Chang et al., "Application of Clustering Analysis Algorithm in Sorting Stochastic Vibration Environment Measured Data", Applied Mechanics and Materials, Vols. 52-54, pp. 1433-1437, 2011

Online since:

March 2011

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Price:

$35.00

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