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VPRS Approach to Knowledge Acquisition for Fault Diagnosis Expert System(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2004年02期
Page:
118-122
Research Field:
Publishing date:

Info

Title:
VPRS Approach to Knowledge Acquisition for Fault Diagnosis Expert System
Author(s):
ZHANG Deng-feng 1LI Zhong-xin 2WANG Zhi-quan 2 HU Shou-song 3
1.School of Mechanical Engineering;2.Department of Automation, NUST, Nanjing 210094,China;3.College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016,China
Keywords:
fault diagnosis variable precision rough set model expert system know ledge acqu-i sit ion informat ion ent ropy
PACS:
TP277
DOI:
-
Abstract:
In order to solve the problem of know ledge acquisit ion for fault diagnosis ex pert system, a variable precision rough set approach is proposed. Regularly conditional entropy and mutual informat ion ent ropy are employed in the evaluat ion of fault features. The simplest diagnost ic know ledge is acquired by variable precision rough set theory to construct the ES know-l edge base. Simulation experiment of fault diag nosis of rolling bearings show es the effect iveness and the superiority of the proposed method.

References:

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Memo

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Last Update: 2013-03-11