嵌入式系统在风电机组状态监测中的应用研究

发布时间：2018-03-06 10:10

本文选题：风力发电机组　切入点：嵌入式　出处：《华北电力大学(北京)》2017年硕士论文　论文类型：学位论文

【摘要】：随着风力发电技术的飞速发展,对风电机组的运行维护变得愈发重要。状态监测与故障诊断技术,通过对各个风电机组进行在线监控来及时掌握机组运行情况,能在早期发现故障,给出维护意见,减少非计划停机的时间,提高风力发电机组的运行效率和可靠性。本文以嵌入式技术为核心,针对风电机组典型故障类型,设计了一套完整的状态监测系统,包括前置模拟电路设计、基于数字处理器DSP的数据采集与处理装置设计以及相关软件程序设计。该系统以安装在现场各测点的传感器作为信号源,利用自主研发的嵌入式数据处理装置对现场信号进行采集、处理和存储,并将数据通过W5100以太网通信模块或433M无线射频模块发送至上位机。上位机以LabVIEW为开发环境,完成数据存储,信号分析以及故障诊断。该系统目前已经应用于某风电场,并在运行期间成功预测出某齿轮箱故障,验证了其可靠性与稳定性。
[Abstract]:With the rapid development of wind power generation technology, the operation and maintenance of wind turbine units become more and more important. It can find fault in the early stage, give the maintenance opinion, reduce the unplanned downtime, improve the operation efficiency and reliability of the wind turbine. This paper takes embedded technology as the core, aiming at the typical fault type of wind turbine. A complete state monitoring system is designed, including the design of analogue circuit. The design of data acquisition and processing device based on digital processor DSP and related software program design. The embedded data processing device is used to collect, process and store the field signal, and the data is transmitted to the host computer through W5100 Ethernet communication module or 433M radio frequency module. The host computer takes LabVIEW as the development environment. Data storage, signal analysis and fault diagnosis have been completed. The system has been applied to a wind farm and successfully predicted a gearbox fault during operation, which verifies its reliability and stability.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM315

【参考文献】