标题:Application of data mining in fault diagnoses for machinery
作者:Han, Yilun ;Ming, Sun
通讯作者:Han, Y.
作者机构:[Han, Yilun ;Ming, Sun ] Institute of Mechano-electronic Engineering, Shandong University of Science and Technology, QingDao, China
来源:Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010
出版年:2010
卷:3
页码:1552-1555
DOI:10.1109/ICNC.2010.5583723
摘要:Data mining can draw out much useful knowledge and information unknown beforehand from amounts of uncompleted, unstable, random data. The paper studies the application about the technology of data mining based on wavelet theory in fault diagnosis for machinery according to up-to-date outcome, and brings forward the data mining way based on wavelet theory, we do verification by experiment. The wavelet transform can draw out the feature of fault, the neural network based on wavelet can effectively carry out the classification of faults. The basis can be supplied for its application. [5]. © 2010 IEEE.
收录类别:EI
资源类型:会议论文
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