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机译:基于信号处理方法的风力涡轮机系统损坏检测:批判性评论
Department of Electronic and Information Technology Miami College of Henan University Kaifeng Henan China;
Department of Civil Engineering Miami College of Henan University Kaifeng Henan China;
Department of Electronic and Information Technology Miami College of Henan University Kaifeng Henan China;
Mechanical Engineering ASME Fellow California Polytechnic State University San Luis Obispo CA USA International Institute for Urban Systems Engineering Southeast University Nanjing China;
Department of Electronics and Communication Engineering Parul Institute of Engineering and Technology Parul University Waghodia Vadodara Gujarat India;
School of Computer and Information Engineering Henan University Kaifeng China;
Department of Electronic and Information Technology Miami College of Henan University Kaifeng Henan China;
International Institute for Urban Systems Engineering Southeast University Nanjing China Department of Mechanical Engineering Faculty of Engineering Alexandria University Alexandria Egypt;
International Institute for Urban Systems Engineering Southeast University Nanjing China;
Department of Electronic and Information Technology Miami College of Henan University Kaifeng Henan China;
Department of Electronics and Communication Engineering NIT Jamshedpur Jharkhand Jamshedpur India;
Department of Electronics and Communication Engineering Atria Institute of Technology Karnataka Bengaluru India;
Renewable energy; Structural health monitoring; Signal processing; Time domain; Time-frequency; Wind turbine;
机译:风力发电机功率曲线建模技术及其在风能系统中的应用的综述
机译:基于振动信号的转子轴承系统加速过程损伤检测的特征提取方法比较研究
机译:基于机器学习的新方法,运行风力涡轮机叶片损坏检测
机译:利用振动信号的时频分析检测风轮机叶片的损伤
机译:用于车载诊断系统的失火检测和隔离的信号处理方法。
机译:基于FBG的风力机叶片静态应变响应损伤识别。
机译:风力涡轮机诱导发电机通过电流信号和各种信号处理技术的故障检测