Research on Indicator Diagram of Shock Absorber Fault Recognition Based on Support Vector Machine

Wei Dong Xie; Kan Gao; Ji Sheng Shen

doi:10.4028/www.scientific.net/AMR.765-767.2195

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767Research on Indicator Diagram of Shock Absorber...

Research on Indicator Diagram of Shock Absorber Fault Recognition Based on Support Vector Machine

Abstract:

In order to meet the development of shock absorber on-line detection, a new method of indicator diagrams recognition for shock absorber based on support vector machine (SVM) is proposed. Different fault patterns of shock absorber indicator diagram are discussed, including their main causes. The recognition model is constructed each with Linear, Polynomial and Radial Basis Function (RBF) kernel function. The experimental results show that the best average recognition rate is 96.4%. This method is effective in indicator diagram fault recognition of shock absorber.

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Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

2195-2198

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.2195

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Online since:

September 2013

Authors:

Wei Dong Xie, Kan Gao, Ji Sheng Shen

Keywords:

Fault Recognition, Indicator Diagram, Shock Absorber, Support Vector Machine (SVM)

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