Abstract
Wind energy utilization as a reliable energy source has become a large industry in the last 20 years. Nowadays, wind turbines can generate megawatts of power and have rotor diameters that are on the order of 100 meters in diameter. One of the key components in a wind turbine is the blade which could be damaged by moisture absorption, fatigue, wind gusts or lighting strikes. The wind turbine blades should be routinely monitored to improve safety, minimize downtime, lower the risk of sudden breakdowns and associated huge maintenance and logistics costs, and provide reliable power generation. In this paper, a real-time wind turbine blade monitoring system using fiber Bragg grating (FBG) sensors with the fiber optic rotary joint (FORJ) is proposed, and applied to monitor the structural responses of a 600 W small scale wind turbine. The feasibility and effectiveness of the FORJ is validated by continuously transmitting the optical signals between the FBG interrogator at the stationary side and the FBG sensors on the rotating part. A comparison study between the measured data from the proposed system and those from an IMote2-based wireless strain measurement system is conducted.
Original language | English |
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Title of host publication | Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2012 |
Volume | 8345 |
DOIs | |
Publication status | Published - 22 May 2012 |
Event | Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2012 - San Diego, CA, United States Duration: 12 Mar 2012 → 15 Mar 2012 |
Conference
Conference | Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2012 |
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Country/Territory | United States |
City | San Diego, CA |
Period | 12/03/12 → 15/03/12 |
Keywords
- Fiber Bragg grating (FBG) sensor
- Fiber optic rotary joint
- Wind turbine blade
- Wireless monitoring
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering