Feature Extraction from Engine's Data Based on Rough Sets Theory

Feng Wang; Li Xin Jia

doi:10.4028/www.scientific.net/AMM.120.410

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 120Feature Extraction from Engine's Data Based on...

Feature Extraction from Engine's Data Based on Rough Sets Theory

Abstract:

The speed signal of engine contains abundant information. This paper introduces rough set theory for feature extraction from engine's speed signals, and proposes a method of mining useful information from a mass of data. The result shows that the discernibility matrix algorithm can be used to reduce attributes in decision table and eliminate unnecessary attributes, efficiently extracted the features for evaluating the technical condition of engine.

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Periodical:

Applied Mechanics and Materials (Volume 120)

Pages:

410-413

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.120.410

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Online since:

October 2011

Authors:

Feng Wang, Li Xin Jia

Keywords:

Engine, Feature Extraction, Reduction, Rough Set (RS)

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References

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