Serviceability Optimization of the Next Generation Wind Turbines Using Internet of Things Platform

被引:0
|
作者
Babadi, Adel Nazemi [1 ]
Niyazi, Mohammad [2 ]
Coutu, Ronald A., Jr. [3 ]
机构
[1] KN Toosi Univ Technol, Fac Elect Engn, Tehran, Iran
[2] Energenious Co, Res & Dev Dept, Berlin, Germany
[3] Marquette Univ, Elect Engn Dept, Milwaukee, WI 53233 USA
关键词
Internet-of-Things; wind turbine; Reliability; fault prognosis; PROGNOSIS; MODEL;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Internet of Things, Big data, connected technologies, and advanced materials are spearheading the growth of an increasingly competitive wind power sector. Wind power market has seen "tremendous growth" in recent years, and will reach even greater heights as IoT technology advances. The primary hot researches in this field focus on wind farm producibility, safety and reliability, and financial risk management. Therefore, essential questions in a topical farm are as follows: How long wind turbines can work efficiently? When is the best time for maintenance? Which measures can be used for essential monitoring of the system? How reliable are the selected measurements to guarantee the safety and predictability of the wind farm? To address the above concerns and design a reliable framework for health monitoring of wind turbines, critical components in wind turbines such as gearboxes, blade, power converter, and others parts are investigated using a recommended IoT platform. The priory goal is to develop IoT system to monitor wind turbine using available measurements through IoT's sensors. Then, potential faults are identified by a diagnosis unit using data mining approaches.
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页数:4
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