Tower Crane Safety Comprehensive Evaluation Based on SVM

Jian Liu; Meng Hua Gu; Zi Long Bai; Xu Zhang; Bao Long Yuan

doi:10.4028/www.scientific.net/AMM.556-562.4643

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Tower Crane Safety Comprehensive Evaluation Based...

Tower Crane Safety Comprehensive Evaluation Based on SVM

Abstract:

This paper focuses on the issues tower crane safety hard to be comprehensive evaluated, the machine learning theory is introduced to the tower crane safety analysis. Firstly, collect the tower crane operating parameters as samples, the SVM classifier make supervised-learning on the samples data, established classification model and running parameters are used to evaluate the secure state. In addition, the effect of different kernel functions and parameters on SVM classifier is discussed, parameters are selected after optimization by mixed method of cross-validation and grid search. Experiments show that optimized SVM model can judge Tower crane safety correctly.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

4643-4646

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.4643

Citation:

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Online since:

May 2014

Authors:

Jian Liu*, Meng Hua Gu, Zi Long Bai, Xu Zhang, Bao Long Yuan

Keywords:

Comprehensive Evaluation, Parameter Optimization, SVM, Tower Crane Safety

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* - Corresponding Author

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