Research on spplication of full vector spectrum-rough set in extracting fault spectrum feature of rotating machinery
Xiaoyun Gong · Machinery Design and Manufacture · 2011
With the rotating machinery developing more larger in scale,more faster in speed and more higher in accuracy,it is becoming more important to extract its faults feature comprehensively,timely and effectively.While the traditional extraction is characterized with its low efficiency,incomplete that may lead to wrong judgement Basing on the ideology of same source information fusion and fault feature extraction,it the vector spectrum shall be combined with rough set and propose the method on application of full vector spectrum-rough set in extracting fault spectrum feature of rotating machinery,which definition and algorithm are given.And with the experimental test for typical rotating machinery fault,this method is proven with the advantages of accuracy and comprehensiveness in fault spectrum feature extraction.therefore it is not only an effective way in fault spectrum feature extraction but also an reference for online monitoring and diagnosis.