考虑台风影响的海上风电机组部件剩余寿命预测方法
TM315; 针对台风天气影响下海上风电机组剩余寿命预测问题,提出了考虑退化状态与台风冲击相依的海上风电机组部件剩余寿命预测方法.基于台风冲击模型及部件状态对部件退化过程的影响分析,构建了考虑退化状态与冲击相依的海上风电机组部件剩余寿命可靠度模型.利用实际监测数据对部件可靠度模型进行修正更新,建立了剩余寿命动态预测模型.采用fmincon函数对离散化处理后的部件可靠度模型进行参数估计,结合运行监测数据修正参数,进而动态预测剩余寿命.以某海上风电机组齿轮箱部件为例进行仿真,验证了所提方法的有效性....
Saved in:
Published in | 电力自动化设备 Vol. 44; no. 6; pp. 35 - 42 |
---|---|
Main Authors | , , , , |
Format | Journal Article |
Language | Chinese |
Published |
上海电力大学 海上风电研究院,上海 200090%上海电力大学 电气工程学院,上海 200090
01.06.2024
|
Subjects | |
Online Access | Get full text |
ISSN | 1006-6047 |
DOI | 10.16081/j.epae.202312021 |
Cover
Loading…
Abstract | TM315; 针对台风天气影响下海上风电机组剩余寿命预测问题,提出了考虑退化状态与台风冲击相依的海上风电机组部件剩余寿命预测方法.基于台风冲击模型及部件状态对部件退化过程的影响分析,构建了考虑退化状态与冲击相依的海上风电机组部件剩余寿命可靠度模型.利用实际监测数据对部件可靠度模型进行修正更新,建立了剩余寿命动态预测模型.采用fmincon函数对离散化处理后的部件可靠度模型进行参数估计,结合运行监测数据修正参数,进而动态预测剩余寿命.以某海上风电机组齿轮箱部件为例进行仿真,验证了所提方法的有效性. |
---|---|
AbstractList | TM315; 针对台风天气影响下海上风电机组剩余寿命预测问题,提出了考虑退化状态与台风冲击相依的海上风电机组部件剩余寿命预测方法.基于台风冲击模型及部件状态对部件退化过程的影响分析,构建了考虑退化状态与冲击相依的海上风电机组部件剩余寿命可靠度模型.利用实际监测数据对部件可靠度模型进行修正更新,建立了剩余寿命动态预测模型.采用fmincon函数对离散化处理后的部件可靠度模型进行参数估计,结合运行监测数据修正参数,进而动态预测剩余寿命.以某海上风电机组齿轮箱部件为例进行仿真,验证了所提方法的有效性. |
Abstract_FL | Aiming at the problem of residual life prediction of offshore wind turbines under the influence of typhoon weather,the prediction method of residual life of offshore wind turbine components considering the dependence of degradation state and typhoon impact is proposed.Based on the analysis of the impact of typhoon impact model and component state on component degradation process,the reliability model of off-shore wind turbine components is constructed considering the dependence of degradation state and impact.In order to improve the accuracy and robustness of prediction under complex operating conditions,a dynamic prediction model of residual life is established by revising and updating the component degradation model with actual monitoring data.Parameters of the component reliability model are estimated by using fmincon function and revised by monitoring data,and the residual life are dynamically predicted.A gearbox compo-nent of an offshore wind turbine is simulated to verify the effectiveness of the proposed method. |
Author | 李传文 刘智彬 刘璐洁 符杨 黄玲玲 |
AuthorAffiliation | 上海电力大学 海上风电研究院,上海 200090%上海电力大学 电气工程学院,上海 200090 |
AuthorAffiliation_xml | – name: 上海电力大学 海上风电研究院,上海 200090%上海电力大学 电气工程学院,上海 200090 |
Author_FL | LI Chuanwen LIU Lujie HUANG Lingling FU Yang LIU Zhibin |
Author_FL_xml | – sequence: 1 fullname: LIU Lujie – sequence: 2 fullname: LI Chuanwen – sequence: 3 fullname: FU Yang – sequence: 4 fullname: LIU Zhibin – sequence: 5 fullname: HUANG Lingling |
Author_xml | – sequence: 1 fullname: 刘璐洁 – sequence: 2 fullname: 李传文 – sequence: 3 fullname: 符杨 – sequence: 4 fullname: 刘智彬 – sequence: 5 fullname: 黄玲玲 |
BookMark | eNotT8tKw0AUnUUFa-0H-AduEufOTGYmSyn1AQU33ZekM1FLScUggiuh3aiolKpQcaUbXalIfZXgz-TR_IUDujkHDufBWUClsBdqhJYA28CxhJWOrfc8bRNMKBiAEioDxtzimIl5VI2iXR87QAVzQJZRfXbcn42H6eVL8XCRxq_p6Dy_HWSTj-Tz1Cj51SS7-86ng6L_mEzf05OnJB6nzz_pMC7uje0su_nK3q4X0VzgdSNd_ecKaq7Vm7UNq7G1vllbbVgRYMotpy0IA58pwFIyj2naVsKTgvlcaOECCXyCtaMD4XIFmgdaKiEVDyhxfNehFbT8V3vohYEXbrc6vYP90Ay2VPdI7UQmTRjm5i39BTZYZ-4 |
ClassificationCodes | TM315 |
ContentType | Journal Article |
Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
Copyright_xml | – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
DBID | 2B. 4A8 92I 93N PSX TCJ |
DOI | 10.16081/j.epae.202312021 |
DatabaseName | Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
DocumentTitle_FL | Residual life prediction of offshore wind turbine components considering typhoon effects |
EndPage | 42 |
ExternalDocumentID | dlzdhsb202406006 |
GroupedDBID | 2B. 4A8 92I 93N ADMLS ALMA_UNASSIGNED_HOLDINGS PSX TCJ |
ID | FETCH-LOGICAL-s1036-5c7241b4d10884a4e3cd7a874b67e7912fb20e5ef796d1e6fe8d78d6f325b953 |
ISSN | 1006-6047 |
IngestDate | Thu May 29 03:54:34 EDT 2025 |
IsPeerReviewed | false |
IsScholarly | true |
Issue | 6 |
Keywords | component reliability model 部件可靠度模型 dy-namic prediction 海上风电机组 台风天气 typhoon weather 剩余寿命预测 residual life prediction 动态预测 offshore wind turbines |
Language | Chinese |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-s1036-5c7241b4d10884a4e3cd7a874b67e7912fb20e5ef796d1e6fe8d78d6f325b953 |
PageCount | 8 |
ParticipantIDs | wanfang_journals_dlzdhsb202406006 |
PublicationCentury | 2000 |
PublicationDate | 2024-06-01 |
PublicationDateYYYYMMDD | 2024-06-01 |
PublicationDate_xml | – month: 06 year: 2024 text: 2024-06-01 day: 01 |
PublicationDecade | 2020 |
PublicationTitle | 电力自动化设备 |
PublicationTitle_FL | Electric Power Automation Equipment |
PublicationYear | 2024 |
Publisher | 上海电力大学 海上风电研究院,上海 200090%上海电力大学 电气工程学院,上海 200090 |
Publisher_xml | – name: 上海电力大学 海上风电研究院,上海 200090%上海电力大学 电气工程学院,上海 200090 |
SSID | ssib051374518 ssib006563412 ssib023167001 ssib000271330 ssib001129761 ssib036435470 ssib057620044 |
Score | 2.4148548 |
Snippet | TM315;... |
SourceID | wanfang |
SourceType | Aggregation Database |
StartPage | 35 |
Title | 考虑台风影响的海上风电机组部件剩余寿命预测方法 |
URI | https://d.wanfangdata.com.cn/periodical/dlzdhsb202406006 |
Volume | 44 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR3LbtQwMKq2Fy4IBIi3ioRPaCFxHDs-cLB3U1WIcqFIvVV50gNaJNpeekJqL4AAVTykIk5wgRMgVF7Vip_pbtu_YMbxbqJuD0svkXc8nodn45lJ7InjXE2ChHlpzpu0kG6TsYI2JcQlzYL6LI1FmjMXzzvP3uEz99it-WB-onGztmtpZTm5nq4eeq7kKFYFGNgVT8n-h2WHRAEAbbAvXMHCcB3LxiQKcadC6GNDSiI9EgUknCbaJZEkyidhhBDdJtp0SYC0SSSIVCRkJOJEQ68gESMaSKnaKMBh2As4skW0QojWZpREjio0ozTR3DCFgdJA2igJQBSIMW2YeghEyrRiGmpDGdrSQHxSfgVzECjXBAhQMKmNsoIoZSEoADRaSAS6VES0UVZBdDx0rgYF5iY09CiRruGGAXSFAnK0jc7Ar0WUayWrUwG-0MMtrgoPoc9Rb63sfNuSlvZ5CmXVvi9zB9RmfGiDUYWNMkqYBpDk18azmEAdoI0NaewjUTaYftoaZYxFJV2YFxocWajaf0WXnM1gVcoSGmNb7LFkqXlKfBTF3bJc6sCVlqU87ZJR94tlSRobYZXl1EZ8N4fo1DhvwMICtpB5wMWrApXh9tHswWq2uJSg9VxuCu5PUsgSacOZVO3Z23frr9U9v_7aGKJbUTvIDcmMz6r4nmJZiME-DPjtQ7gesMqhBZ4vWFAFc5Cr43Jkdq4MpsPunEBlbhxUxRwM7BRx534thp074Ry3yeeUKleSk87E6uIpJ9p7vLa3udF7-XX_44te91vv1fPdd-v9rZ87v54CZPf1Vv_9n93t9f21TzvbP3pPPu90N3tf_vY2uvsfAO1Z_-3v_vc3p5256WiuNdO0H1dpLnlYhDxIBQTvCcs8iDNYzHI_zUQcCpZwkQvp0QLmNw_yQkieeTkv8jATYcYLnwaJDPwzTqPzsJOfdaZSSZM8BhIxpGN5xvGbvyJL0pglImNCnnOuWK0X7Nq5tHDQgufHwLngHKvu14tOY_nRSn4JMoLl5LK1-z8BL8LU |
linkProvider | EBSCOhost |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E8%80%83%E8%99%91%E5%8F%B0%E9%A3%8E%E5%BD%B1%E5%93%8D%E7%9A%84%E6%B5%B7%E4%B8%8A%E9%A3%8E%E7%94%B5%E6%9C%BA%E7%BB%84%E9%83%A8%E4%BB%B6%E5%89%A9%E4%BD%99%E5%AF%BF%E5%91%BD%E9%A2%84%E6%B5%8B%E6%96%B9%E6%B3%95&rft.jtitle=%E7%94%B5%E5%8A%9B%E8%87%AA%E5%8A%A8%E5%8C%96%E8%AE%BE%E5%A4%87&rft.au=%E5%88%98%E7%92%90%E6%B4%81&rft.au=%E6%9D%8E%E4%BC%A0%E6%96%87&rft.au=%E7%AC%A6%E6%9D%A8&rft.au=%E5%88%98%E6%99%BA%E5%BD%AC&rft.date=2024-06-01&rft.pub=%E4%B8%8A%E6%B5%B7%E7%94%B5%E5%8A%9B%E5%A4%A7%E5%AD%A6+%E6%B5%B7%E4%B8%8A%E9%A3%8E%E7%94%B5%E7%A0%94%E7%A9%B6%E9%99%A2%2C%E4%B8%8A%E6%B5%B7+200090%25%E4%B8%8A%E6%B5%B7%E7%94%B5%E5%8A%9B%E5%A4%A7%E5%AD%A6+%E7%94%B5%E6%B0%94%E5%B7%A5%E7%A8%8B%E5%AD%A6%E9%99%A2%2C%E4%B8%8A%E6%B5%B7+200090&rft.issn=1006-6047&rft.volume=44&rft.issue=6&rft.spage=35&rft.epage=42&rft_id=info:doi/10.16081%2Fj.epae.202312021&rft.externalDocID=dlzdhsb202406006 |
thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fdlzdhsb%2Fdlzdhsb.jpg |