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重庆大学 自动化学院重庆,400030
纸质出版日期:2008,
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向长城,黄席樾.可拓免疫算法在汽轮机故障诊断中的应用[J].工程科学与技术,2008,40(2):141-146.
Application of Extenics Immunity Algorithm toTurbo Generator Fault Diagnosis[J]. Advanced Engineering Sciences, 2008,40(2):141-146.
中文摘要: 为了解决汽轮机的各种故障问题,一种新的可拓免疫算法被提出来对汽轮机各种故障进行诊断。该方法利用可拓学能同时定量和定性描述系统行为的特点,结合免疫系统的学习机制和否定选择机理,将故障的特征利用可拓学的物元进行描述,建立B细胞探测器物元和抗原物元。根据故障样本数据,利用免疫系统自己—非己识别机理训练产生B细胞探测器,其B细胞探测器与抗原物元的亲和度,采用可拓学中的关联函数作为度量函数。对产生的探测器利用样本数据进行检测。该方法在对汽轮发电机组进行故障诊断时
正确地识别出了故障成份
证明是有效的。并给出了进一步研究的方向。
Abstract:To solve the fault diagnosis of turbo generato generator
the Novel Extenics Immune Algorithm was proposed. Based on the characteristics of Extenics which can describe the system behavior by the qualitative and quantitative investigation
and the learning mechanism and the self nonself mechanism of the immune system
the B cell detector matter element and antigen matter element were established . Firstly
according to fault sample data
the B cell detector was created by self nonself mechanism of immune system
the affinity distance function between the antibody and the antigen was adopted the connection function of the Extenics.Secondly
the B cell detector was trained by the immune learning mechanism using sample data.Then
the algorithm was used to the fault diagnosis of the turbo generator and the fault was correctly identified.
可拓学免疫算法故障诊断汽轮机
extenicsimmune algorithmfault diagnosisturbo generator
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