High-Order Peak-Valley Identification Method for Real-Time Tracking of Wind Turbine Fatigue Life

GUI Jiabin; LI Liangxing; GUO Yiwen

doi:10.7652/xjtuxb202507010

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High-Order Peak-Valley Identification Method for Real-Time Tracking of Wind Turbine Fatigue Life

更新时间：2025-07-09

- High-Order Peak-Valley Identification Method for Real-Time Tracking of Wind Turbine Fatigue Life
- Journal of Xi’an Jiaotong University Vol. 59, Issue 7, Pages: 99-107(2025)
- 作者机构：
  
  西安交通大学动力工程多相流国家重点实验室， 710049，西安
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202507010
  CLC： TK83
- Received：19 December 2024，
  
  Online First：27 February 2025，
  
  Published：10 July 2025
- 稿件说明：
移动端阅览
GUI Jiabin, LI Liangxing, GUO Yiwen. High-Order Peak-Valley Identification Method for Real-Time Tracking of Wind Turbine Fatigue Life[J]. Journal of Xi’an Jiaotong University, 2025, 59(7): 99-107.
DOI：

GUI Jiabin, LI Liangxing, GUO Yiwen. High-Order Peak-Valley Identification Method for Real-Time Tracking of Wind Turbine Fatigue Life[J]. Journal of Xi’an Jiaotong University, 2025, 59(7): 99-107. DOI： 10.7652/xjtuxb202507010.

摘要

为了满足风电场中实时追踪风力发电机疲劳寿命以减少运维成本的需求，针对传统应力循环识别算法的实时性不足的缺点，提出一种新的高阶峰谷识别方法，通过对风机载荷的峰谷序列数据进行识别，引入半循环和高阶区间循环的概念，实现快速准确的疲劳寿命评估。研究结果表明：高阶峰谷识别方法的计算精度优于变程均值法，与雨流计数法相近；计算响应速度远远高于雨流计数法，与未采用该方法的计算性能相比，各风机的计算加速比超过5倍。利用高阶峰谷识别法对风机塔架推力与主轴力矩数据进行分析，计算了风机的等效疲劳载荷和累计疲劳损伤，结果表明，随着时间增加，损伤在初期增长较快，然后增速逐渐减缓，各风机累计疲劳损伤增长速度差异较大。高阶峰谷识别法可有效减少疲劳寿命评估的计算时间，对提高风电机场的安全性和经济性具有一定的意义。

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 peak-valley 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 differences 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.

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Keywords

references

ROGA S , BARDHAN S , KUMAR Y , et al . Recent technology and challenges of wind energy generation: a review [J ] . Sustainable Energy Technologies and Assessments , 2022 , 52 ( Part C ): 102239 .

WANG Ni , LI Jian , YU Xiang , et al . Optimal active and reactive power cooperative dispatch strategy of wind farm considering levelised production cost minimisation [J ] . Renewable Energy , 2020 , 148 : 113 - 123 .

李特 , 王荣喜 , 高建民 . 风电机组数据采集与监控系统异常数据识别方法 [J ] . 西安交通大学学报 , 2024 , 58 ( 3 ): 106 - 116 .

LI Te , WANG Rongxi , GAO Jianmin . A method for abnormal data recognition of wind turbine supervisory control and data acquisition systems [J ] . Journal of Xi'an Jiaotong University , 2024 , 58 ( 3 ): 106 - 116 .

葛畅 , 阎洁 , 刘永前 , 等 . 海上风电场运行控制维护关键技术综述 [J ] . 中国电机工程学报 , 2022 , 42 ( 12 ): 4278 - 4291 .

GE Chang , YAN Jie , LIU Yongqian , et al . Review of key technologies for operation control and maintenance of offshore wind farm [J ] . Proceedings of the CSEE , 2022 , 42 ( 12 ): 4278 - 4291 .

MUÑIZ-CALVENTE M , ÁLVAREZ-VÁZQUEZ A , PELAYO F , et al . A comparative review of time-and frequency-domain methods for fatigue damage assessment [J ] . International Journal of Fatigue , 2022 , 163 : 107069 .

PARAFOROS D S , GRIEPENTROG H W , VOUGIOUKAS S G , et al . Fatigue life assessment of a four-rotor swather based on rainflow cycle counting [J ] . Biosystems Engineering , 2014 , 127 : 1 - 10 .

AMZALLAG C , GEREY J P , ROBERT J L , et al . Standardization of the rainflow counting method for fatigue analysis [J ] . International Journal of Fatigue , 1994 , 16 ( 4 ): 287 - 293 .

MCINNES C H , MEEHAN P A . Equivalence of four-point and three-point rainflow cycle counting algorithms [J ] . International Journal of Fatigue , 2008 , 30 ( 3 ): 547 - 559 .

TAO Tao , YANG Yi , YANG Taolue , et al . Time-domain fatigue damage assessment for wind turbine tower bolts under yaw optimization control at offshore wind farm [J ] . Ocean Engineering , 2024 , 303 : 117706 .

金鑫 , 王亚明 , 李浪 , 等 . 基于LQG的独立变桨控制技术对风电机组气动载荷影响研究 [J ] . 中国电机工程学报 , 2016 , 36 ( 22 ): 6164 - 6170 .

JIN Xin , WANG Yaming , LI Lang , et al . Dynamics loads optimization analysis of wind turbine based on LQG independent pitch control [J ] . Proceedings of the CSEE , 2016 , 36 ( 22 ): 6164 - 6170 .

刘颖明 , 赵哲 , 王晓东 , 等 . 考虑机组疲劳载荷的风电集群有功功率分配方法 [J ] . 太阳能学报 , 2021 , 42 ( 5 ): 430 - 436 .

LIU Yingming , ZHAO Zhe , WANG Xiaodong , et al . Active power distribution method for wind farm cluster based on cluster analysis [J ] . Acta Energiae Solaris Sinica , 2021 , 42 ( 5 ): 430 - 436 .

MARSH G , WIGNALL C , THIES P R , et al . Review and application of Rainflow residue processing techniques for accurate fatigue damage estimation [J ] . International Journal of Fatigue , 2016 , 82 ( Part 3 ): 757 - 765 .

ANTONOPOULOS A , D'ARCO S , HERNES M , et al . Challenges and strategies for a real-time implementation of a rainflow-counting algorithm for fatigue assessment of power modules [C ] // 2019 IEEE Applied Power Electronics Conference and Exposition (APEC) . Piscataway, NJ, USA : IEEE , 2019 : 2708 - 2713 .

CHEN Jie , IMANIAN A , WEI Haoyang , et al . Piecewise stochastic rainflow counting for probabilistic linear and nonlinear damage accumulation considering loading and material uncertainties [J ] . International Journal of Fatigue , 2020 , 140 : 105842 .

OBERMAYR M , RIESS C , WILDE J . A novel online 4-point rainflow counting algorithm for power electronics [J ] . Microelectronics Reliability , 2021 , 120 : 114112 .

宾洋 , 于静美 , 朱英凯 , 等 . 实时雨流计数法及其在钴酸锂电池健康状态建模中的应用 [J ] . 中国电机工程学报 , 2017 , 37 ( 12 ): 3627 - 3635 .

BIN Yang , YU Jingmei , ZHU Yingkai , et al . A real-time rain flow algorithm and its application to state of health modeling for LiCoO 2 lithium-ion batteries [J ] . Proceedings of the CSEE , 2017 , 37 ( 12 ): 3627 - 3635 .

FIORITI D , SCARPELLI C , PELLEGRINO L , et al . Battery lifetime of electric vehicles by novel rainflow-counting algorithm with temperature and C-rate dynamics: effects of fast charging, user habits, vehicle-to-grid and climate zones [J ] . Journal of Energy Storage , 2023 , 59 : 106458 .

项恩耀 , 卢倚平 , 罗皓泽 , 等 . 车用功率模块热疲劳应力的高精度在线提取方法与实证 [J ] . 中国电机工程学报 , 2024 , 44 ( 22 ): 8991 - 9002 .

XIANG Enyao , LU Yiping , LUO Haoze , et al . High-precision online extraction method and demonstration of thermal fatigue stress of automotive power modules [J ] . Proceedings of the CSEE , 2024 , 44 ( 22 ): 8991 - 9002 .

HE Ruiyang , YANG Hongxing , SUN Shilin , et al . A machine learning-based fatigue loads and power prediction method for wind turbines under yaw control [J ] . Applied Energy , 2022 , 326 : 120013 .

ZHU Dongping , DING Zhixia , HUANG Xiaogang . Probabilistic model for fatigue damage estimation of wind turbines with hidden Markov model and neural network [J ] . Ocean Engineering , 2024 , 310 ( Part 1 ): 118663 .

MANWELL J F , MCGOWAN J G , ROGERS A L . Wind energy explained: theory, design and application [M ] . Hoboken, NJ, USA : John Wiley & Sons, Inc , 2009 : 95 - 96 .

ZHAO Jie , FANG Yudi , HE Yuqin , et al . Active power control strategy of wind farm considering fatigue load of wind turbines [J ] . Energy Reports , 2021 , 7 ( S7 ): 1466 - 1476 .

杨伟峰 , 文云峰 , 李立 , 等 . 考虑疲劳载荷的风电场分散式频率响应策略 [J ] . 电力自动化设备 , 2022 , 42 ( 4 ): 55 - 62 .

YANG Weifeng , WEN Yunfeng , LI Li , et al . Decentralized frequency response strategy for wind farm considering fatigue load [J ] . Electric Power Automation Equipment , 2022 , 42 ( 4 ): 55 - 62 .

宋子秋 , 冯翰宇 , 余照国 , 等 . 基于模型预测控制的半潜漂浮式风机协调控制方法研究 [J ] . 中国电机工程学报 , 2022 , 42 ( 12 ): 4330 - 4338 .

SONG Ziqiu , FENG Hanyu , YU Zhaoguo , et al . Coordinated control of semi-submersible floating turbine with model predictive control strategy [J ] . Proceedings of the CSEE , 2022 , 42 ( 12 ): 4330 - 4338 .

MURAKAMI Y , TAKAGI T , WADA K , et al . Essential structure of S-N curve: prediction of fatigue life and fatigue limit of defective materials and nature of scatter [J ] . International Journal of Fatigue , 2021 , 146 : 106138 .

姚钢 , 杨浩猛 , 周荔丹 , 等 . 大容量海上风电机组发展现状及关键技术 [J ] . 电力系统自动化 , 2021 , 45 ( 21 ): 33 - 47 .

YAO Gang , YANG Haomeng , ZHOU Lidan , et al . Development status and key technologies of large-capacity offshore wind turbines [J ] . Automation of Electric Power Systems , 2021 , 45 ( 21 ): 33 - 47 .

ZHANG Y , LU T . Study of the quantitative assessment method for high-cycle thermal fatigue of a T-pipe under turbulent fluid mixing based on the coupled CFD-FEM method and the rainflow counting method [J ] . Nuclear Engineering and Design , 2016 , 309 : 175 - 196 .

FENG Zheng , LI Chuanxi , HE Jun , et al . Static and fatigue test on lightweight UHPC-OSD composite bridge deck system subjected to hogging moment [J ] . Engineering Structures , 2021 , 241 : 112459 .

CHEN Nianzhong , WANG Ge , GUEDES SOARES C . Palmgren-miner's rule and fracture mechanics-based inspection planning [J ] . Engineering Fracture Mechanics , 2011 , 78 ( 18 ): 3166 - 3182 .

邢广鹏 . 循环计数法在航空发动机载荷谱统计中的适用性研究 [D ] . 南京 : 南京航空航天大学 , 2017 .

MEYERS J , BOTTASSO C , DYKES K , et al . Wind farm flow control: prospects and challenges [J ] . Wind Energy Science , 2022 , 7 ( 6 ): 2271 - 2306 .

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