| 一种基于改进成组算法的特征提取方法 |
| |
| 引用本文： | 闫纪红,李万召.一种基于改进成组算法的特征提取方法[J].计算机集成制造系统,2009,15(10). |
| |
| 作者姓名： | 闫纪红 李万召 |
| |
| 作者单位： | 哈尔滨工业大学,工业工程系/现代生产技术中心,黑龙江,哈尔滨,150001 |
| |
| 基金项目： | 国家自然科学基金资助项目(70701012);;黑龙江省自然科学基金资助项目(E200634);;航天支撑技术基金资助项目~~ |
| |
| 摘 要： | 针对传统成组算法不能保证核元素为最优的缺点,提出了一种改进的成组算法,获得了最优的核元素,从而使每个分组中的元素最多,分组数达到最少。较之模糊聚类法,本算法更简单,运算速度更快,最终的分组数通过预先设定的相似度得到,更有利于处理未知信息。最后,采用刀具磨损实验中采集的振动信号对该方法进行验证,得到了比较理想的结果。
|
| 关 键 词： | 成组算法 特征提取 核元素 非平稳信号 广义夹角余弦 刀具磨损 |
Feature extraction methodology based on improved grouping algorithm |
| |
| YAN Ji-hong,LI Wan-zhao.Feature extraction methodology based on improved grouping algorithm[J].Computer Integrated Manufacturing Systems,2009,15(10). |
| |
| Authors: | YAN Ji-hong LI Wan-zhao |
| |
| Affiliation: | Department of Industrial Engineering/Center for Advanced Production Technology;Harbin Institute of Technology;Harbin 150001;China |
| |
| Abstract: | Traditional group algorithm couldn't guarantee core element as optimal.To deal with this problem,an improved group algorithm was proposed.By this algorithm,optimum core elements were obtained.As a result,each group had the most elements satisfying similarity threshold consequently the number of groups reached the fewest.Compared to fuzzy clustering algorithm,the proposed method had better convergence time and simple structure.Vibration signals acquired from a cutting tool degradation experiment was used to ... |
| |
| Keywords: | group algorithm feature extraction core elements nonstationary signals cosine of generalized angle cutting tool degradation |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
