A two-stage Failure Mode and Effect Analysis of offshore wind turbines

被引:72
|
作者
Li, He [1 ,2 ]
Teixeira, Angelo P. [1 ]
Soares, C. Guedes [1 ]
机构
[1] Univ Lisbon, Inst Super Tecn, Ctr Marine Technol & Ocean Engn CENTEC, Lisbon, Portugal
[2] Univ Elect Sci & Technol China, Ctr Syst Reliabil & Safety, Chengdu 611731, Sichuan, Peoples R China
关键词
Failure mode and effect analysis; Failure analysis; Offshore wind turbine; Uncertainty analysis; ANALYTIC HIERARCHY PROCESS; MAINTENANCE OPTIMIZATION; RELIABILITY PREDICTION; CRITICALITY ANALYSIS; RISK-ASSESSMENT; COST; SYSTEMS; FARM; UNCERTAINTY; OPERATION;
D O I
10.1016/j.renene.2020.08.001
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper proposes a two-stage Failure Mode and Effect Analysis (FMEA) technique as a basis for implementing the failure analysis of offshore wind turbines. At the first stage, critical failure causes and failure modes of each component of offshore wind turbines are identified. In the next stage, critical components and systems of offshore wind turbines are ascertained by a cost-and-risk-based index that considers both risk priority and failure costs of components. The objective is to overcome some weak-nesses of the traditional FMEAs including: (i) Risk-based FMEA ignores practical information extracted in the operation stage of offshore wind turbines such as failure cost and, (ii) Cost-based FMEA addresses mainly failures of components and systems and cannot deepen to failure modes and failure causes of offshore wind turbines. A methodology towards conducting uncertainty analysis of FMEA results is developed to provide a new insight into a good understanding of FMEAs and their results. The developed uncertainty analysis methodology reveals that the proposed two-stage FMEA technique is adequate to reduce the uncertainty of FMEA results and is superior in failure analysis of offshore wind turbines. The application of the methodology can provide recommendations toward corrective actions and condition based maintenance implementations. (c) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1438 / 1461
页数:24
相关论文
共 50 条
  • [21] Analysis of offshore wind turbines with jacket structures
    Argyriadis, Kimon
    Klose, Marcus
    PROCEEDINGS OF THE SEVENTEENTH (2007) INTERNATIONAL OFFSHORE AND POLAR ENGINEERING CONFERENCE, VOL 1- 4, PROCEEDINGS, 2007, : 328 - 334
  • [22] A review of failure prognostics for predictive maintenance of offshore wind turbines
    Zhang, Wanwan
    Vatn, Jorn
    Rasheed, Adil
    EERA DEEPWIND OFFSHORE WIND R&D CONFERENCE, DEEPWIND 2022, 2022, 2362
  • [23] Assessment of failure rates and reliability of floating offshore wind turbines
    Li, He
    Soares, C. Guedes
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 228
  • [24] A failure analysis of floating offshore wind turbines using AHP-FMEA methodology
    Li, He
    Diaz, H.
    Soares, C. Guedes
    OCEAN ENGINEERING, 2021, 234
  • [25] Failure Rate Assessment for Onshore and Floating Offshore Wind Turbines
    Li, He
    Peng, Weiwen
    Huang, Cheng-Geng
    Soares, C. Guedes
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (12)
  • [26] A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis
    Jee, Tze Ling
    Tay, Kai Meng
    Lim, Chee Peng
    IEEE TRANSACTIONS ON RELIABILITY, 2015, 64 (03) : 869 - 877
  • [27] Study on Gyroscopic Effect of Floating Offshore Wind Turbines
    Jia-hao Chen
    Ai-guo Pei
    Peng Chen
    Zhi-qiang Hu
    China Ocean Engineering, 2021, 35 : 201 - 214
  • [28] Study on Gyroscopic Effect of Floating Offshore Wind Turbines
    Chen Jia-hao
    Pei Ai-guo
    Chen Peng
    Hu Zhi-qiang
    CHINA OCEAN ENGINEERING, 2021, 35 (02) : 201 - 214
  • [29] Study on Gyroscopic Effect of Floating Offshore Wind Turbines
    CHEN Jia-hao
    PEI Ai-guo
    CHEN Peng
    HU Zhi-qiang
    ChinaOceanEngineering, 2021, 35 (02) : 201 - 214
  • [30] Systematic analysis of performance and cost of two floating offshore wind turbines with significant interactions
    Zhang, Lijun
    Li, Ye
    Xu, Wenhao
    Gao, Zhiteng
    Fang, Long
    Li, Rongfu
    Ding, Boyin
    Zhao, Bin
    Leng, Jun
    He, Fenglan
    APPLIED ENERGY, 2022, 321