An Approach for Construction of Fault Trees Using Rough Set and Fuzzy Clustering Algorithm

Abstract:

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This paper presents a novel methodology for the construction of fault tree using rough set and clustering algorithm. Taking advantage of the strong ability of RS theory in processing large data and eliminating redundant information, this method can remove irrelevant factors from the original fault data and reduce the dimension of processing data which helps to overcome fuzzy clustering algorithm's defect when process large database. The method is introduced and explained in details and its correctness and completeness is validated by Fault tree construction of oil-immersed traction transformers.

Info:

Periodical:

Edited by:

Shengyi Li, Yingchun Liu, Rongbo Zhu, Hongguang Li, Wensi Ding

Pages:

186-191

DOI:

10.4028/www.scientific.net/AMM.34-35.186

Citation:

J. L. Tu et al., "An Approach for Construction of Fault Trees Using Rough Set and Fuzzy Clustering Algorithm", Applied Mechanics and Materials, Vols. 34-35, pp. 186-191, 2010

Online since:

October 2010

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Price:

$35.00

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