基于CFOA-MKHSVM的滚动轴承健康状态评估方法  被引量:24

Health state assessment of a rolling bearing based on CFOA-MKHSVM method

在线阅读下载全文

作  者:康守强[1] 王玉静[1] 崔历历 柳长源[1] 郑建禹 Kang Shouqiang Wang Yujing Cui Lili Liu Changyuan Zheng Jianyu(School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China)

机构地区:[1]哈尔滨理工大学电气与电子工程学院,哈尔滨150080

出  处:《仪器仪表学报》2016年第9期2029-2035,共7页Chinese Journal of Scientific Instrument

基  金:国家自然科学基金(51305109);黑龙江省青年科学基金(QC2014C075);黑龙江省博士后资助经费(LBH-Z13113);校青年拔尖创新人才培养计划(No.11)项目资助

摘  要:为了更有效评估滚动轴承性能退化程度,提出一种混沌优化果蝇算法(CFOA)与多核超球体支持向量机(MKHSVM)相结合的滚动轴承健康状态定量评估方法。该方法针对滚动轴承各状态数据分布不均匀、单一核函数分类存在局限性的问题,提出利用多核核函数的凸组合来优化超球体支持向量机。为消除人为选择分类器多参数的盲目性、避免果蝇优化算法陷入局部最优,将果蝇算法与混沌理论相结合,对多参数进行寻优。同时构建混沌优化果蝇算法-多核超球体支持向量机(CFOAMKHSVM)模型,并提出归一化差别系数评估指标。通过实验研究,与支持向量数据描述(SVDD)算法评估指标进行对比,验证了所提指标的有效性,实现了滚动轴承健康状态的定量评估。In order to effectively assess performance degradation of the rolling bearing, a quantitative assessment method of rolling bearing health state is proposed combining chaos fruit fly optimization algorithm (CFOA) with multi-kernel hypersphere support vector machine (MKHSVM). Aiming at the uneven distribution characteristics of rolling bearing each state data and the classification limitation problem of single kernel function, the hypersphere support vector machine is optimized by multi-kernel function convex combination method. In order to eliminate the unreasonableness of artificially selecting parameters of the classifier and avoid locally optimal solution for fruit fly optimization algorithm, the parameters are optimized by using the fruit fly optimization algorithm combined with chaos theory. At the same time, the CFOA-MKHSVM model is constructed, and an assessment index is proposed based on normalized difference coefficient. Comparing with the assessment index of support vector data description (SVDD) algorithm, the effectiveness of the proposed index is verified, and the health state quantitative assessment of a rolling bearing is achieved.

关 键 词:滚动轴承 果蝇优化算法 超球体支持向量机 性能退化程度 状态评估 

分 类 号:TN911.7[电子电信—通信与信息系统] TH165.3[电子电信—信息与通信工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象