用于風(fēng)機疲勞壽命實時追蹤的高階峰谷識別方法
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關(guān)鍵詞：風(fēng)力發(fā)電機；疲勞壽命；應(yīng)力循環(huán)；高階峰谷識別方法；雨流計數(shù)法中圖分類號：TK83文獻(xiàn)標(biāo)志碼：ADOI：10.7652/xjtuxb202507010 文章編號： 0253-987X（2025）07-0099-09
High-Order Peak-Valley Identification Method for Real-Time Tracking of Wind TurbineFatigue Life
GUIJiabin，LILiangxing，GUO Yiwen （StateKeyLaboratoryofMultiphaseFlowinPower Engineering，Jiaotong University，Xi’an71o049，）
Abstract： In order to meet the demand for real-time fatigue life tracking in wind farms and to reduce operation and maintenance costs，a novel high-order peak-valley identification method is proposed to address the insufficiency of real-time performance in traditional stress cycle identification algorithms. This method identifies peak-valley sequence data of wind turbine loads， introducing the concepts of half-cycles and high-order interval cycles to achieve fast and accurate fatigue life assessment. The research results indicate that the high-order peak-valley identification method achieves better computational accuracy than the variable range mean method and is comparable to the rain flow counting method. Furthermore，its computational response speed far exceeds that of the rain flow counting method，with a computational acceleration ratio of over 5 times compared to performance without this method for each wind turbine. The high-order peakvalley identification method is applied to analyze the tower thrust and main shaft torque data of wind turbines and to calculate the equivalent fatigue load and accumulative fatigue damage. As time increases，damage grows rapidly in the early stages and then gradually slows down，with significant diffrences in the growth rates of cumulative fatigue damage among different wind turbines. The high-order peak-valley identification method can effectively reduce the computation time for fatigue life assessment，which is significant for improving the safety and economic efficiency of wind farms.
Keywords： wind turbines；fatigue life； stress cycles；high-order peak-valey identification method; rainflow counting method
風(fēng)能是重要的可再生能源，風(fēng)能的高效利用和風(fēng)電的快速發(fā)展對實現(xiàn)“雙碳”目標(biāo)具有重要意義[1]。（剩余12918字）