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Studying on the Life Cycle Information Share and Discovery for Complicated Products Based on Data Mining and Data Grid Technology

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Abstract:

Complicated product lifecycle information including design and manufacturing, operation and maintenance as well as relative supply information, all are tightly related to the product life cycle cooperative design and the process of establishing the dynamic alliance. Data grid includes the digital library and data grid service technologies and it can provide the reliable technique support to integrated information systems. The grey clustering is used to merge the same type of factors based on presetting conditions. The improved grey clustering algorithm has been used to find the main failure types for some equipment. The structure of the multi layers and cross information share in the dynamic alliance for the ship life cycle information based on two data grid service centers and the flows of resources and information discovery based on data mining are proposed according to the information share requirements. A developed protocol system based on two data grid services has been presented to show ship lifecycle information share and finding the main failure types of pumps using grey clustering algorithm.

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Periodical:

Materials Science Forum (Volumes 532-533)

Pages:

1120-1123

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.532-533.1120

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Online since:

December 2006

Authors:

Xi Feng Fang, Liang Cai Zhao, Shi Jie Su

Keywords:

Data Grid Technology, Data Mining (DM), Grey Clustering Algorithm, Information Share and Discovery

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© 2006 Trans Tech Publications Ltd. All Rights Reserved

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