Online Diagnosis of Brick Interior Fault Based on Dynamic Fuzzy Cluster Analysis

摘要：

A method to online detect and diagnose brick interior different types of faults was proposed based on striking sound. Applied spectrum analysis to striking sound signals of bricks, picked out characteristic frequencies of every spectrum to form a data matrix, then applied fuzzy cluster analysis to get classification, next computed corresponding average similarity to every cluster, judged bricks fault type by comparing them when online detection. Experiment results show that the method is effective.

关键词： brick interior defect spectrum fuzzy clustering average similarity characteristic frequency online detection

作者: Zhihua Qiao Ming Yang Zijuan Wang

作者单位: Automation College Shenyang Aerospace University 3-11 Daoyi South Street, Daoyi economy developing D Luyao Department Shenyang Dongda Automation Company 19 Shiji Roaa, Hunnan Distric, Shenyang, 110179,

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 315-318

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）