文章基本信息

标题：HHT Fuzzy Wavelet Neural Network to Identify Incipient Cavitations in Cooling pump of Engine
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作者：Li, Li-hong ; Xu, Xiangyang ; Liu, Yanfang 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2011
卷号：6
期号：3
页码：506-513
DOI：10.4304/jcp.6.3.506-513
语种：English
出版社：Academy Publisher
摘要：Incipient cavitations identification is very practical and academic significance for cavity research in cooling pump of engine but it is very complicated. In this paper, a Hilbert-Huang transform（HHT） fuzzy wavelet neural network (FWNN) is proposed for incipient cavitations identification. The main incipient cavitations feature was extracted from entrance pressure fluctuation by the HHT. This FWNN uses wavelet basis function as membership function which shape can be adjusted on line so that the networks have better learning and adaptive ability and at the same time combine the wavelet neural network with fuzzy logical theory to deal with complicated nonlinear, uncertain and fuzzy problem. At last the experiment showed that this identification model can provide fast and reliable incipient cavitations identification with minimum assumptions and minimum requirements for modeling skills.
关键词：incipient cavitations identification;Hilbert- Huang transform;fuzzy wavelet neural network;wavelet basis function