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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 443-444Identification of Natural Frequency of Bearing...

Identification of Natural Frequency of Bearing Rotor Based on GA-SVM

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Abstract:

During identify natural frequency of bearing rotor, due to the complex non-linear relationship among the factors which influence natural frequency, so it is hard to establish a complete and accurate theoretical model. Based on the generalization and approximation of non-linear mapping capability of support vector machine (SVM) and the powerful ability of global optimization of the genetic algorithm (GA), the paper through optimizing the SVM by GA, establishes combined Genetic Support Vector Machine (GA-SVM). The method establishes the mapping between the natural frequency of a rolling bearing rotor and the various parameters, which reduces the rotor structure for the study similar to the natural frequency of the calculation of the workload greatly. Using the model to indentify the natural frequency of bearing rotor under different parameters, then compare identification value with experimental values shows that projections in good agreement with the experimental data.

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Manufacturing Science and Materials Engineering

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Periodical:

Advanced Materials Research (Volumes 443-444)

Pages:

27-33

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.443-444.27

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Online since:

January 2012

Authors:

Tian Ran Ma, Fei Hu Qin, Rui Xue Liu, Feng Jie Zhang

Keywords:

Bearing Rotor, Genetic Support Vector Machine (GA–SVM), Identification, Natural Frequency

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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