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《Journal of Vibration and Shock》 2007-08
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HU Xiong1 WANG Zhi-xin2 CHEN Zhao-neng2(1.Department of Mechanical Engineering, Shanghai Maritime University, Shanghai 200135, China; 2.School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200030, China)  
In view of too many attributes in the condition recognition of driving system of Container Crane, an attributes reduction method based on rough set is introduced in feature selection using wavelet packets in order to achieve the recognition more rapidly. Then, the Wallace measure is introduced for comparison between the clustering results based on the original data set and the reduced one. the experiments show that both sets give almost the same results, while the dimension of later set is much smaller, which simplifies greatly the complexity and computation of clustering.
【Fund】: 上海市教育委员会科研项目(编号:2004095)
【CateGory Index】: TH17
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