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Application of Rough Set Theory in Fault Diagnostic Rules Acquisition

东华大学学报(英文版)2007,Vol.24Issue(2):276-279,4.
东华大学学报(英文版)2007,Vol.24Issue(2):276-279,4.

Application of Rough Set Theory in Fault Diagnostic Rules Acquisition

Application of Rough Set Theory in Fault Diagnostic Rules Acquisition

1

作者信息

  • 1. College of Mechanical and Power Engineering, Nanjing University of Technology, Nanjing 210009, China;College of Information Science and Engineering, Nanjing University of Technology, Nanjing 210009, China;College of Mechanical and Power Engineering, Nanjing University of Technology, Nanjing 210009, China
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摘要

Abstract

Rough set theory is a new mathematical tool to deal with vagueness and uncertainty. But original rough sets theory only generates deterministic rules and deals with data sets in which there is no noise. The variable precision rough set model (VPRSM) is presented to handle uncertain and noisy information. A method based on VPRSM is proposed to apply to fault diagnosis feature extraction and rules acquisition for industrial applications. An example for fault diagnosis of rotary machinery is given to show that the method is very effective.

关键词

variable precision rough set/fault diagnosis/rules acquisition

Key words

variable precision rough set/fault diagnosis/rules acquisition

分类

信息技术与安全科学

引用本文复制引用

..Application of Rough Set Theory in Fault Diagnostic Rules Acquisition[J].东华大学学报(英文版),2007,24(2):276-279,4.

基金项目

Natural Scientific Research Project of the Education Department of Jiangsu Province in China (No. 05KJB520048) (No. 05KJB520048)

东华大学学报(英文版)

1672-5220

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