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The fault diagnostics and identification of rolling element bearings have been the subject of extensive research. This paper presents a novel pattern classification approach for the fault diagnostics, which combines the morphological multi-scale analysis and the ??one to others?? support vector machine (SVM) classifiers. Morphological pattern spectrum describes the shape characteristics of the inspected...
The defects diagnosis and pattern classification are presented in this paper. Morphological pattern spectrum describes the shape characteristics of the inspected signal based on the morphological opening operation with multi-scale structuring elements. The pattern spectrum entropy and the barycenter scale location of the spectrum curve are extracted as the feature vector presenting different defects...
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