Possibilistic C-Means Improved Support Vector Data Description-based Fault Diagnosis for Fiber Board Gluing System

摘要：

Fault signal is always a problem that interferes with the operation of fiber board gluing control system. This paper proposes a Possibilistic C-Means (PCM) improved support vector data description (SVDD) method to construct a multiclassifier for the fault diagnosis of Tiber gluing control system. In the proposed method, SVDD is employed to construct a multi-classifier for the fault diagnosis in the gluing system. Because the original SVDD is sensitive to the noises and outliers, we use PCM to improve the accuracy of classifier and then conduct a series of experiments. The results of the experiments show that the method proposed can identify the actual situation accurately and provide a high identification rate up to 97％, which is better than original SVDD.

关键词： fiber board gluing system fault diagnosis support vector data description possibilistic c-means

作者: Yizhuo Zhang Huiling Yu

作者单位: Northeast Forestry University No.26 Hexing Road Xiangfang District, Harbin, P.R.China 150040

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 238-241

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）