• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Accurate Monitoring and Fault Detection in Wind Measuring Devices through Wireless Sensor Networks
【2h】

Accurate Monitoring and Fault Detection in Wind Measuring Devices through Wireless Sensor Networks

机译：通过无线传感器网络对测风装置进行准确的监视和故障检测

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Many wind energy projects report poor performance as low as 60% of the predicted performance. The reason for this is poor resource assessment and the use of new untested technologies and systems in remote locations. Predictions about the potential of an area for wind energy projects (through simulated models) may vary from the actual potential of the area. Hence, introducing accurate site assessment techniques will lead to accurate predictions of energy production from a particular area. We solve this problem by installing a Wireless Sensor Network (WSN) to periodically analyze the data from anemometers installed in that area. After comparative analysis of the acquired data, the anemometers transmit their readings through a WSN to the sink node for analysis. The sink node uses an iterative algorithm which sequentially detects any faulty anemometer and passes the details of the fault to the central system or main station. We apply the proposed technique in simulation as well as in practical implementation and study its accuracy by comparing the simulation results with experimental results to analyze the variation in the results obtained from both simulation model and implemented model. Simulation results show that the algorithm indicates faulty anemometers with high accuracy and low false alarm rate when as many as 25% of the anemometers become faulty. Experimental analysis shows that anemometers incorporating this solution are better assessed and performance level of implemented projects is increased above 86% of the simulated models.
机译：许多风能项目报告的不良表现可低至预期表现的60％。其原因是资源评估不佳以及在偏远地区使用未经测试的新技术和系统。关于风能项目区域潜力的预测（通过模拟模型）可能与该区域的实际潜力不同。因此，引入精确的场地评估技术将导致对特定区域能源生产的准确预测。我们通过安装无线传感器网络（WSN）定期分析来自该地区安装的风速计的数据来解决此问题。在对获取的数据进行比较分析之后，风速计通过WSN将其读数传输到接收器节点以进行分析。接收器节点使用迭代算法，该算法顺序检测任何有故障的风速计，并将故障的详细信息传递给中央系统或主站。我们将所提出的技术应用于仿真以及实际实现中，并通过将仿真结果与实验结果进行比较，以分析从仿真模型和已实现模型获得的结果的变化，研究其准确性。仿真结果表明，当多达25％的风速计出现故障​​时，该算法可以指示出高精度的风速计，误报率低。实验分析表明，采用该解决方案的风速计可以得到更好的评估，并且已实施项目的性能水平可以提高到模拟模型的86％以上。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号