The Application of Mechanical Failure Diagnosis Expert System for the Improvement of Vibration Fault Monitor and Diagnosis Based on Rough Set Theory

Abstract:

Focuses on rough set theory and the genetic algorithms and theories on their integration mechanism based on the study of the failure diagnosis on gas turbine-set, A new algorithm were put forward in the discretization of continuous attribute, attribute reduction and value reduction methods based on the classical set theory and rough set theory and solved the difficult problem which expert system to obtain the rules in the paper. Knowledge system attribute table is regard as a major tool to reduce the rules of expert system in which unnecessary attributes are eliminated. The redundancy of failure diagnosis information and the complexity of structure in failure diagnosis expert system are revealed. It brings forth the reliable and practical method, which have further enriched and improved the theories on the vibration fault monitor and diagnosis of a large gas turbine-set by testing and verifying

• Periodical: Advanced Materials Research (Volume 461)
• Pages: 191-195
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.461.191
• Online since: February 2012
• Authors: Dong Qiu, Jun Ming Zhang
• Keywords: Decision Table, Expert System, Fault Diagnosis, Reduction, Rough Set (RS)

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