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基于粗糙集的Petri网故障诊断模型研究 被引量:2

Research of Petri Net Models for Fault Diagnosis Based on Rough Set Theory
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摘要 本文以旋转机械故障诊断为例,通过粗糙集理论对其样本条件属性进行约简,得到简化的样本集,然后在此基础上对传统Petri网进行改进并构造诊断模型,以利用Petri网的矩阵运算能力进行故障诊断,避免了Petri网对于复杂系统建模容易出现组合爆炸的问题。文章通过示例证明了这种方法的可行性与有效性。 The rotating machinery fault diagnosis was analyzed in this paper as an example to testify the feasibility of an approach. Depending on the reduced attribute set based on the rough set theory. We constructed the Petri net model to diagnose the fault state by the use of matrix calculus, and this method can avoid the matter that combinatorial states expand quickly because of the complex- ity of the system. The method is also proved to be availability by the example in this paper.
作者 赵熙临 刘辉
出处 《微计算机信息》 北大核心 2008年第1期148-150,共3页 Control & Automation
基金 湖北省教育厅重点项目(D200614013)
关键词 粗糙集 PETRI网 故障诊断 模型 rough set Petri net fault diagnosis models
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