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基于风电机组常见故障的模糊FMECA评价研究
引用本文:王宇晨,成斌.基于风电机组常见故障的模糊FMECA评价研究[J].电力系统保护与控制,2018,46(1):143-149.
作者姓名:王宇晨  成斌
作者单位:石河子大学机械电气工程学院,新疆 石河子 832000,石河子大学机械电气工程学院,新疆 石河子 832000
基金项目:国家自然科学基金项目(51665052):新疆风电装备叶片覆冰及其疲劳损伤建模研究
摘    要:针对风力发电厂运行可靠性问题,提出风电机组模糊故障模式、影响与危害性分析(Failure Modes, Effect and Criticality Analysis, FMECA)评价模型。基于金风天翼风电场全年运行数据的统计分析,对风电机组故障评价引进模糊评价理论进行改进。通过建立FMEA(Failure Mode and Effect Analysis, FMEA)故障表,绘制危害性矩阵图并建立因素集、评价集和权重集,进行模糊评价分析。根据评价结果,对各故障的危害度进行重新排序整理。该研究对进一步提高风电现场运维效率、降低运维成本具有重要的意义。

关 键 词:风电机组  故障  FMECA分析  模糊评价
收稿时间:2016/12/10 0:00:00
修稿时间:2017/2/28 0:00:00

Fuzzy FMECA based on common faults of wind turbine generator
WANG Yuchen and CHENG Bin.Fuzzy FMECA based on common faults of wind turbine generator[J].Power System Protection and Control,2018,46(1):143-149.
Authors:WANG Yuchen and CHENG Bin
Affiliation:College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China and College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China
Abstract:Aiming at the reliability of wind power plant, a fuzzy Failure Modes, Effect and Criticality Analysis (FMECA) evaluation model for wind turbine is proposed. Based on the statistics of annual operating data of Gold Wind Factory, the fuzzy evaluation theory is introduced to improve the fault evaluation of wind turbine. Through the establishment of Failure Mode and Effect Analysis (FMEA) fault table, this paper draws the hazard matrix and establishes the factor set, evaluation set and weight set to carry out fuzzy evaluation analysis. According to the evaluation results, the damage degree of each fault is rearranged. This study means great significance to further improve the efficiency of wind farm operation and maintenance and reduce maintenance costs. This work is supported by National Natural Science Foundation of China (No.51665052).
Keywords:wind turbine generator  fault  FMECA analysis  fuzzy evaluation
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