| 风电机组传动系统网络化状态监测与故障诊断系统设计 |
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| 引用本文： | 马婧华,汤宝平,韩延.风电机组传动系统网络化状态监测与故障诊断系统设计[J].重庆大学学报(自然科学版),2015,38(1):37-44. |
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| 作者姓名： | 马婧华 汤宝平 韩延 |
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| 作者单位： | 重庆大学 机械传动国家重点实验室,重庆,400044 |
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| 基金项目： | 国家自然科学基金资助项目(51275546)。 |
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| 摘 要： | 针对现有风电机组监测系统无法对其传动系统早期故障进行有效诊断的问题,研发了一套基于B/S和C/S混合架构的风电机组传动系统网络化状态监测与故障诊断系统。根据应用需求设计了风电机组传动系统状态监测和故障诊断系统、整体框架和功能模块;结合数据采集设备,基于.ENT和SQL Server平台研发了风电机组传动系统状态监测和故障诊断系统,包括网络化数据采集、远程状态监测、信号分析、故障诊断和数据库服务器等模块。该系统成功应用于某风场风电机组传动系统状态监测和故障诊断。
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| 关 键 词： | 状态监测 故障诊断 风电机组 传动系统 网络化 |
| 收稿时间： | 2014/10/21 0:00:00 |
Design of networking condition monitoring andfault diagnosis for wind turbine transmission system |
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| MA Jinghu,TANG Baoping and HAN Yan.Design of networking condition monitoring andfault diagnosis for wind turbine transmission system[J].Journal of Chongqing University(Natural Science Edition),2015,38(1):37-44. |
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| Authors: | MA Jinghu TANG Baoping and HAN Yan |
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| Institution: | The State Key Laboratory of Mechanical Transmission,Chongqing University,Chongqing 400044,P.R.China,The State Key Laboratory of Mechanical Transmission,Chongqing University,Chongqing 400044,P.R.China and The State Key Laboratory of Mechanical Transmission,Chongqing University,Chongqing 400044,P.R.China |
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| Abstract: | In order to solve the incipient fault diagnose problem of the transmission system, a networking condition monitoring and failure diagnosis system based on B/S and C/S hybrid architecture for wind turbine transmission system is designed in the paper. Firstly, the paper analyzes the demands of condition monitoring and fault diagnosis system for wind turbine transmission system, and designs its overall framework and function modules. Then, combining with the data acquisition equipment, by the .NET and SQL Server platform, the paper designs condition monitoring and failure diagnosis system for wind turbine transmission system, which includes the functions of networking data acquisition, remote condition monitoring, signal analysis, fault diagnosis and database as well. The system has been successfully applied to a condition monitoring and fault diagnosis of wind turbine transmission system. |
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| Keywords: | condition monitoring fault diagnosis wind turbines transmission system networking |
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