Research on Feature Extraction Based on Vibration Phase Diagram and Its Application in Roller Fault Diagnosis

摘要：

A technique of feature extraction based on vibration phase diagram for roller of rolling mill was discussed. Basic theory of roller fault diagnosis based on vibration phase diagram was presented, causes for phase diagram under different conditions was analyzed and a method of computing the eigenvalue for distribution density matrix was provided. To same one roller vibration under identical environment, the cooperation of phase point probability distribution is only relelation to the density of probability distribution, and unconcerned with noise. It is also different to phase point distribution density of different states. A experiment was conducted on Ψ500× 2 shrewd roller of rolling mill, the feature of roller signal was extracted based on vibration phase diagram and chose Hidden Markov Model (HMM) to build and identify mould. The experiment shows that this system has better identification rate, and proves that this technique is effective.

关键词： Roller Vibration Phase Diagram Feature Extraction Fault Diagnosis

作者: Yonghui TANG HongyingZHANG Guoxiang LIN

作者单位: School of Mechanical Engineering, University of South China, HengyangHunan China, 421001 Mechanical Engineering Department, HengYang Finance Economics and Industry Vocation College, Hengyan

会议类型: 国际会议

会议名称: 2011 International Conference on Mechatronics and Materials Processing(2011年机电一体化与材料加工国际会议 ICMMP)

会议地点: 广州

会议语种:英文

页码: 2050-2054

在线出版日期: 2011-11-18（万方平台首次上网日期，不代表论文的发表时间）