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机构地区:[1]哈尔滨理工大学机械动力工程学院,黑龙江哈尔滨150080
出 处:《哈尔滨理工大学学报》2014年第6期82-87,共6页Journal of Harbin University of Science and Technology
基 金:国家自然科学基金(51275136)
摘 要:针对风力发电机运行环境复杂,常规振动诊断技术应用困难问题,在介绍无传感器检测与诊断技术原理及发展的基础上,从信号处理和仿真分析等角度详细分析了电机定子电流对齿轮、轴承等机械故障的感应机理.介绍微弱机械故障信息的预处理方法等研究成果,综述其在风力发电机组机械故障诊断应用的可行性.并对其在风力发电机组传动系统故障诊断中的存在的问题与应用进行了展望.Traditional mechanical fault diagonal methods using vibration metrics face many difficulties in the application of the wind turbine generator due to complicated operation environments. Therefore, in this paper, we adopt the innovative approach based on the technology of wireless sensor diagnosis. We investigate into how the e- lectric current in the motor stator reacts to the mechanical faults from components such as gears and bearings by u- sing advanced signal process and simulations techniques. This paper also summarizes some experience in how to preprocess the minor mechenical faults information and its feasibility as well as prospects in the fault diagnosis of wind turbine drive train system.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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