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A novel approach for fault forecast and diagnosis of steam turbine based on rough set data mining theory is brought forward, aimed at overcoming shortages of some current knowledge attaining methods. The historical fault data of steam turbine is processed with fuzzy and scatter method. The processed data is used to structure the fault diagnosis decision-making table that is treated as "knowledge...
For overcoming shortages of some current knowledge attaining methods, a novel approach for fault forecast and diagnosis of steam turbine based on rough set data mining theory is brought forward. Data pretreatment, knowledge reduction and rule abstraction are three important problems in the research of rough set theory.The historical fault data of steam turbine is processed with fuzzy and scatter method...
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