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机译:采用声发射和机器学习加速疲劳负荷下加速疲劳负荷的复合风力涡轮机叶片的损伤模式识别
Zhejiang Univ Ocean Coll Zhoushan 316021 Peoples R China;
Zhejiang Univ Sch Energy Engn Inst Chem Machinery & Proc Equipment Hangzhou Peoples R China;
Zhejiang Univ Sch Energy Engn Inst Chem Machinery & Proc Equipment Hangzhou Peoples R China;
Zhejiang Univ Sch Energy Engn Inst Chem Machinery & Proc Equipment Hangzhou Peoples R China;
Zhejiang Univ Sch Energy Engn Inst Chem Machinery & Proc Equipment Hangzhou Peoples R China;
Zhejiang Univ Ocean Coll Zhoushan 316021 Peoples R China;
Zhejiang Univ Ocean Coll Zhoushan 316021 Peoples R China;
Zhejiang Univ Ocean Coll Zhoushan 316021 Peoples R China;
Lianyungang Zhongfu Lianzhong Composites Grp Co L Key Lab Design & Mfg Offshore Wind Power Blade Ji Lianyungang Peoples R China;
Lianyungang Zhongfu Lianzhong Composites Grp Co L Key Lab Design & Mfg Offshore Wind Power Blade Ji Lianyungang Peoples R China;
Wind turbine blade; fatigue tests; defect detection; damage mode identification; acoustic emission; machine learning;
机译:使用声发射和机器学习实现风力涡轮机刀片粘合复合接头的鲁棒损伤模式识别
机译:语音发射复合风力涡轮机叶片损伤模式识别与奇异信号检测
机译:使用声发射的静载荷测试下的风力涡轮机叶片损伤评估
机译:朝向复合风力涡轮机叶片疲劳寿命评估使用帘布层尺度损伤模型
机译:复合材料风力涡轮机叶片基于可靠性的设计优化,可在风荷载不确定性下实现疲劳寿命。
机译:时空螺旋X射线计算机断层扫描(CT)研究风力涡轮机叶片复合材料中的拉伸疲劳损伤
机译:用声发射评估风力涡轮机叶片的疲劳损伤