Fault Diagnosis of a Rotary Machine Based on Information Entropy and Rough Set
摘要
There exists some discord or contradiction of information during the process of fault diagnosis for rotary machine.But the traditional methods used in fault diagnosis can not dispose of the information.A model of fault diagnosis for a rotary machine based on information entropy theory and rough set theory is presented in this paper.The model has clear mathematical definition and can dispose both complete unification information and complete inconsistent information of vibration faults.By using the model,decision rules of six typical vibration faults of a steam turbine and electric generating set are deduced from experiment samples.Finally,the decision rules are validated by selected samples and good identification results are acquired.
引用本文（GB/T 7714）
Shuhong Huang. Fault Diagnosis of a Rotary Machine Based on Information Entropy and Rough Set[J]. 国际设备工程与管理：英文版, 2007.
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