Publikationsdatum:
2012-03-09
Beschreibung:
Vibration signals acquired from bearing have been found to demonstrate complicated nonlinear characteristics in literature. Fractal geometry theory has provided effective tools such as fractal dimension for characterizing the vibration signals in bearing faults detection. However, most of the natural signals are not critical self-similar fractals; the assumption of a constant fractal dimension at all scales may not be true. Motivated by this fact, this work explores the application of the multi-scale fractal dimensions based on morphological cover (MC) technique for bearing fault diagnosis. Vibration signals from bearing with seven different states under four operations conditions are collected to validate the presented MFD based on MC technique. Experimental results reveal that the vibration signals acquired from bearing are not critical self-similar fractals. The MFD can provide more discriminative information about the signals than the single global fractal dimension. Furthermore, three classifiers are employed to evaluate and compare the classification performance of the MFD with other feature extraction methods. Experimental results demonstrate the MFD to be a desirable approach to improve the performance of bearing fault diagnosis. Content Type Journal Article Pages - DOI 10.3233/SAV-2012-0679 Authors Bing Li, Forth department, Mechanical Engineering College, Shi Jia zhuang, HeBei, China Pei-Lin Zhang, First department, Mechanical Engineering College, Shi Jia zhuang, HeBei, China Shuang-Shan Mi, Forth department, Mechanical Engineering College, Shi Jia zhuang, HeBei, China Ying-Tang Zhang, First department, Mechanical Engineering College, Shi Jia zhuang, HeBei, China Dong-Sheng Liu, Forth department, Mechanical Engineering College, Shi Jia zhuang, HeBei, China Journal Shock and Vibration Online ISSN 1875-9203 Print ISSN 1070-9622
Print ISSN:
1070-9622
Thema:
Architektur, Bauingenieurwesen, Vermessung
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