Gaoya dianqi, 2015 针对高压断路器机械振动信号,在正常状态、分闸弹簧单根脱落状态和操作及传动机构卡涩状态下,采用模糊C聚类分析算法比较短时傅里叶变换、小波包能量熵和希尔伯特—黄变换3种特征提取方法的分类性能,提出了基于相关向量机理论的断路器机械特性故障诊断方法,搭建了数据采集系统,研究了断路器机械特性不同状态下信号特征值的变化规律,并通过实验证明了特征提取和故障诊断方法的有效性。
李斌, 李爽, 鲁旭臣
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[A Review of Archaeological Studies on Dento-maxillofacial Deformities]. [PDF]
Sichuan Da Xue Xue Bao Yi Xue BanLuo G, Deng D, Zhou J, Zhou C.
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Gaoya dianqi在变压器故障诊断过程中，进行合理的特征优选，将有助于提高诊断模型的诊断精度，为此，文中提出了一种基于金豺优化算法（golden Jackal optimization，GJO）特征量优选与AO-RF的变压器故障诊断模型。首先，采用GJO对构建的21维变压器油中溶解气体特征量进行优选；然后，根据GJO得到的特征优选结果，采用天鹰算法（aquila optimizer，AO）优化随机森林（random forest，RF）的变压器故障诊断模型对变压器故障进行诊断，并与不同特征量 ...
叶育林 +8 more
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[Development and validation of a multicenter nomogram predicting the risk of liver metastasis after curative resection of colorectal cancer]. [PDF]
Beijing Da Xue Xue Bao Yi Xue BanWang N, Yuan D, Zhu Y, Ding L.
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Hua Xi Kou Qiang Yi Xue Za ZhiZheng Y, Wang D, Jiang T, Yang D, Lu H.
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Zhongguo Xiu Fu Chong Jian Wai Ke Za ZhiZou Z, Zeng Y, Zeng J.
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