| 张起,李学渊,李鹏,曹敏.基于动态核主元分析的电缆接头故障检测方法[J].,2020,60(3):300-305 |
| 基于动态核主元分析的电缆接头故障检测方法 |
| Fault detection method for cable joint based on DKPCA |
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| DOI：10.7511/dllgxb202003011 |
| 中文关键词: 动态核主元分析(DKPCA) 非线性 电缆接头 故障检测 |
| 英文关键词: dynamic kernel principal component analysis (DKPCA) nonlinear cable joint fault detection |
| 基金项目:国家自然科学基金资助项目(61763049);云南省应用基础研究计划重点项目(2018FA032). |
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| 中文摘要: |
| 针对环网柜电缆接头故障发生前后时刻的时间相关性较强,且故障的发生是一个非线性过程,将动态核主元分析应用于环网柜电缆接头故障检测并建立故障检测模型.该模型可以在解决非线性变量难以分离的同时提取变量之间的动态自相关特性,并通过建立动态核主元在线监测模型及时检测故障的发生.最后对采集的环网柜电缆接头故障数据进行实验分析,实验结果证明所提方法能有效地检测出环网柜电缆接头故障的发生,且检测精度和误报率均优于之前的算法. |
| 英文摘要: |
| Due to the time correlation and nonlinear characteristics of fault occurrence of cable joint in ring main unit, the dynamic kernel principal component analysis (DKPCA) is applied to the fault detection of cable joints in ring main unit and the fault detection model is established. The model can extract the dynamic autocorrelation between variables while solving the difficulty of separating nonlinear variables, and detect the occurrence of faults by establishing a dynamic kernel principal component online monitoring model. Finally, the proposed method is applied to the fault diagnosis of cable joints in ring main unit. The experimental results show that the method can effectively detect the cable joint failure of the ring main unit, and the detection accuracy and false alarm rate are better than the previous algorithm. |
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