RESEARCH ON FEATURES REDUCTION IN MECHANICAL CONDITION RECOGNITION ABOUT MOTORS BASED ON ROUGH SET
Zhaoneng Chen · Zhendong yu chongji · 2007
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.