Aerosense: A Self-Sustainable and Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines
Author:
Affiliation:
1. Department of Information Technology and Electrical Engineering (D-ITET), ETH Zürich, Zürich, Switzerland
Funder
Swiss National Science Foundation (SNSF) Bridge Project “AeroSense”
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10003029/09967940.pdf?arnumber=9967940
Reference27 articles.
1. Design and first test of the new synchronous 200 Hz system for unsteady pressure field measurement;filipsk?;Proc FKFS Conf,2017
2. MEMS multi sensor intelligent damage detection for wind turbines by using IoT;fathima;J Phys Conf Ser,2021
3. Wireless High-Resolution Acceleration Measurements for Structural Health Monitoring of Wind Turbine Towers
4. Efficient monitoring and control of wind energy conversion systems using Internet of things (IoT): a comprehensive review
5. NB-IoT Versus LoRaWAN: An Experimental Evaluation for Industrial Applications
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Tiny On-Device Structural Health Monitoring for Wind Turbines Using MEMS Pressure Sensors;2024 IEEE Sensors Applications Symposium (SAS);2024-07-23
2. An Ultra-Thin 4.3 mm Generator for Energy Harvesting on Operating Wind Turbine Blades;2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM);2024-06-19
3. Towards a non-Invasive Monitoring System for Wind Turbine Blades;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20
4. IoT acoustic sensor design and antenna selection for a wind turbine structural health monitoring system;NDE 4.0, Predictive Maintenance, Communication, and Energy Systems: The Digital Transformation of NDE II;2024-05-09
5. Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurement;Sensors;2024-03-07
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3