Transformation algorithm of wind turbine blade moment signals for blade condition monitoring |
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| Affiliation: | 1. Division of Offshore Wind Power, KEPCO Research Institute, Daejeon, Republic of Korea;2. Department of Mechanical Engineering, University of Michigan, 2350 Hayward Street, Ann Arbor, MI 48109-2125, USA;1. Department of Mechanical Engineering, University of Michigan, 2350 Hayward Street, Ann Arbor, MI 48109-2125, USA;2. Offshore Wind R&BD Center, KEPCO Research Institute, Daejeon 305-760, Republic of Korea;1. CUWES, Kunsan National University, DaehakRo 588, Kunsan, Jeonbuk 573-701, South Korea;2. School of Mechanical and Automotive Engineering, Kunsan National University, DaehakRo 588, Kunsan, Jeonbuk 573-701, South Korea;1. Pohang Accelerator Laboratory, Pohang University of Science and Technology, 80 Jigokro-127-beongil, Nam-gu, Pohang, Gyeongbuk 790-834, Republic of Korea;2. Department of System Reliability, Korea Institute of Machinery & Materials, 156, Gajeongbuk-ro, Yuseong-gu, Daejeon 305-343, Republic of Korea;1. School of Energy and Power Engineering, Nanjing University of Science and Technology, No. 200, Xiao Ling Wei, Nanjing, 210094, China;2. Department of Naval Architecture and Ocean Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China;3. Department of Industrial and Systems Engineering, 4627 Seamans Center, The University of Iowa, Iowa City, IA, 52242-1527, USA |
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| Abstract: | To simplify signal analysis on wind turbine blades and enable their efficient monitoring, this paper presents a novel method of transforming blade moment signals on a horizontal axis 3-blade wind turbine. Instead of processing 3-blade moment signals directly, the proposed algorithm transforms the three sinusoidal signals into two static signals relative to the center of blade rotation through vector synthesis and coordinate transformation, and eliminates frequency components due to blade rotation from the obtained signals. Moreover, as an alternative to a rotational sensor, a blade rotation angle estimator is introduced. Its effectiveness was confirmed through simulations and field tests on an actual wind turbine. |
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| Keywords: | Wind turbine Blade monitoring Health monitoring Signal transformation |
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