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文章摘要
Wiener核的快速提取算法*
A Rapid Extraction Algorithm of Wiener Kernel
Received:November 02, 2015  Revised:November 04, 2015
DOI:
中文关键词: Wiener核  特征提取  软故障诊断
英文关键词: Wiener  kernel, feature  extraction, soft  fault diagnosis
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
Author NameAffiliationE-mail
Liu Yunfeng School of Control Technology and Communication Engineering,Harbin University OfScience And Technology fengfeng1118@hotmail.com 
Lin Haijun* School of Control Technology and Communication Engineering,Harbin University OfScience And Technology lhjhlg@126.com 
Piao Weiying School of Control Technology and Communication Engineering,Harbin University OfScience And Technology pwying@163.com 
Cao Yapeng School of Control Technology and Communication Engineering,Harbin University OfScience And Technology 276268894@qq.com 
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中文摘要:
      对于非线性特性未知的模拟电路,可以运用Wiener泛函级数来描述,且Wiener核值可以表示电路特征。但是随着阶数及采样点数的增加,Wiener核值提取运算次数呈指数形式增长,这给应用带来困难。针对这一问题,提出了一种折叠递推快速算法,经分析计算本快速算法比原算法节省乘法计算量90%以上。在此基础上,运用快速算法与标准算法就典型电路进行了对比实验,提取的核相同,可以快捷有效的诊断电路的正常状态及不同软故障状态。
英文摘要:
      The Wiener Functional Series are used to describe the analog circuit of an undiscovered nonlinear characteristic and the circuit character is represented as the value of Wiener kernel. However, the complexity of the Value of Wiener kernel extraction is growing at an exponential rata with the increases of orders and sampling points and it is difficult for application. In view of this problem, a folded and recursive fast algorithm was proposed in this paper and over90% of the computational cost can be reduced with the fast algorithm than primary algorithm based on the careful analysis and calculation. On this basis, the experiments were conducted that compared the results of primary algorithm and fast algorithm applying on typical circuit and the conditions of circuit among normal and different soft faults were rapidly and efficiently determined.
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