在线阅读 --自然科学版 2020年1期《熵度量分析及FMEA理论在电力设备维护中的应用研究》
熵度量分析及FMEA理论在电力设备维护中的应用研究--[在线阅读]
王华, 曹成刚
国网冀北遵化市供电公司, 河北 遵化 064200
起止页码: 37--42页
DOI: 10.13763/j.cnki.jhebnu.nse.2020.01.006
摘要
根据FMEA理论采用从故障频数、可识别程度、严重程度3个维度对电力设备的维护管理中不同故障的应用研究模式进行综合评价,总结并构建了从时间、成本、恢复程度等方面的维护方案评价指标体系,最终归结为设备维护管理方案效价风险的熵度量分析.通过标准化的数据转换,并结合实际计算,阐述了有助于企业进行电力设备维护管理的决策方法.

Application of Entropy Measurement and FMEA Theory in Power Equipment Maintenance Management
WANG Hua, CAO Chenggang
National Grid Jibei Zunhua City Power Supply Company, Hebei Zunhua 064200, China
Abstract:
In the maintenance management of power equipment,according to FMEA theory,different failure modes are comprehensively evaluated from three dimensions of failure frequency,degree of detectability and degree of severity.A series of maintenance scheme evaluation indices from aspects of time,cost and recovery degree are summarized and constructed,which are used as the entropy measurement analysis of valence risk of equipment maintenance management scheme.Based on the standardized data conversion and the example calculation,the decision-making method.The method is helpful to the maintenance management of power equipment.

收稿日期: 2019-10-21
基金项目:

参考文献:
[1]冯振新,周东国,江翼,等.基于改进MSER算法的电力设备红外故障区域提取方法[J].电力系统保护与控制,2019,47(5):123-128. FENG Zhenxin,ZHOU Dongguo,JIANG Yi,et al.Fault Region Extaction Using Improved MSER Algorithm with Application to the Electrical System[J].Power System Protection and Control,2019,47(5):123-128.
[2]袁帅,张慧丽,王晓燕,等.不平衡学习在电力设备故障诊断中的应用[J].信息与电脑(理论版),2019(9):38-40. YUAN Shuai,ZHANG Huili,WANG Xiaoyan,et al.Application of Imbalanced Learning in Power Equipment Fault Diagnosis[J].China Computer&Communication (Theoretical Version),2019(9):38-40.
[3]刘国伟,刘宇俊,杨永.基于红外热成像技术的电力设备故障检测[J].设备管理与维修,2019(2):87-88.doi:10.16621/j.cnki.issn.1001-0599.2019.01d.47 LIU Guowei,LIU Yujun,YANG Yong.Power Equipment Fault Detection Based on Infrared Thermal Imaging Technology[J].Plant Maintenance Engineering,2019(2):87-88.
[4]赖涂楠.电力设备常见故障分析与对策[J].科技经济导刊,2019,27(15):92. LAI Tunan.Analysis and Countermeasures of Common Faults of Power Equipment[J].Technology and Economic Guide,2019,27(15):92.
[5]耿苏杰,王秀利.基于模糊贝叶斯网络的电力设备故障诊断和状态评估.计算机集成制造系统,(2019-06-10).http://kns.cnki.net/kcms/detail/11.5946.TP.20190606.1635.016.html GENG Sujie,WANG Xiuli.Power Equipment Fault Diagnosis and State Evaluation Based on Fuzzy Bayesian Network.Computer Integrated Manufacturing Systems,(2019-06-10).http://kns.cnki.net/kcms/detail/11.5946.TP.20190606.1635.016.html
[6]崔凯.模糊辨识在电力设备故障诊断中的应用探讨[J].科技风,2019(6):180.doi:10.19392/j.cnki.1671-7341.201906156 CUI Kai.Application of Fuzzy Identification in Fault Diagnosis of Power Equipment[J].Technology Wind,2019(6):180.
[7]李晓明,孙林岩,汪应洛,等.先进制造技术(AMT)应用水平与制造业企业市场竞争力关系研究[J].管理工程学报,2004,18(4):55-59.doi:10.3969/j.issn.1004-6062.2004.04.011 LI Xiaoming,SUN Linyan,WANG Yingluo,et al.The Analysis of Relationship Between Market Competence of Manufacturing Company and the Level of AMT in China[J].Journal of Industrial Engineering and Engineering Management,2004,18(4):55-59.
[8]宋谦.基于FMEA的船舶电力设备故障信息处理系统[J].船舶科学技术,2018,40(11A):100-102.doi:10.3404/j.issn.1672-7649.2018.11A.034 SONG Qian.Fault Information Processing System for Marine Power Equipment Based on FMEA[J].Ship Science and Technology,2018,40(11A):100-102.
[9]李春好,桑静,贾艳辉.先进制造技术投资评价模式研究[J].工业技术经济,2005,24(3):101-103. LI Chunhao,SANG Jing,JIA Yanhui.Research on Investment Evaluation Model of Advanced Manufacturing Technology[J].Industrial Technology&Economy,2005,24(3):101-103.
[10]彭灿,张莉萍.一种评价AMT项目的新方法[J].技术经济,2000(8):56-58. PENG Can,ZHANG Liping.A New Method to Evaluate AMT Project[J].Technology Economics,2000(8):56-58.
[11]宋之杰,谷晓燕.先进制造系统技术创新优势无形效益评价[J].经济问题,2008(10):37-39.doi:10.16011/j.cnki.jjwt.2008.10.017 SONG Zhijie,GU Xiaoyan.Evaluation on Technology Innovation Superiority Invisible Benefits of Advanced Manufacturing System[J].On Economic Problems,2008(10):37-39.
[12]宋金波,戴大双,宋砚秋,等.先进制造技术(AMT)实施效果的评测方法研究[J].科学与科学技术管理,2006(6):41-45. SONG Jinbo,DAI Dashuang,SONG Yanqiu,et al.The Evaluation of Implementation Effect of Advanced Manufacturing Technology[J].Science of Science and Management of S&T,2006(6):41-45.
[13]谈毅,王明方,仝允桓.先进制造系统投资评价方法研究[J].管理评论,2007,19(2):40-45.doi:10.14120/j.cnki.cn11-5057/f.2007.02.006 TAN Yi,WANG Mingfang,TONG Yunhuan.Study on Methods of Evaluating the Investment in Advanced Manufacturing System[J].Management Review,2007,19(2):40-45.
[14]邱菀华.管理决策与应用熵学[M].北京:机械工业出版社,2002. QIU Wanhua.Management Decision and Applied Entropy[M].Beijing:Mechanical Industry Press,2002.
[15]徐哲,吴瑾瑾,姚李刚.基于GERT仿真的武器装备技术风险量化评估模型[J].系统仿真学报,2008,20(7):1655-1664.doi:10.16182/j.cnki.joss.2008.07.043 XU Zhe,WU Jinjin,YAO Ligang.Quantitative Appraisement Model of Technical Risk for Weapon System Based on GERT Simulation Technique[J].Journal of System Simulation,2008,20(7):1655-1664.
[16]周国恩.基于熵度量法和模糊层次法的铁路边坡失稳风险评估研究[J].铁道建筑,2013(6):101-105.doi:10.3969/j.issn.1003-1995.2013.06.29 ZHOU Guoen.Study on Risk Assessment of Railway Slope Instability Based on Entropy Measurement and Fuzzy Hierarchy Process[J].Railway Engineering,2013(6):101-105.
[17]董红斌,滕旭阳,杨雪.一种基于关联信息熵度量的特征选择方法[J].计算机研究与发展,2016,53(8):1684-1695.doi:10.7544/j.issn.1000-1239.2016.20160172 DONG Hongbin,TENG Xuyang,YANG Xue.Feature Selection Based on the Measurement of Correlation Information Entropy[J].Journal of Computer Research and Development,2016,53(8):1684-1695.
[18]赵玉忠,宋扬,陈业华.应急物流方案风险评价研究[J].物流技术,2012(21):248-249,264.doi:10.3969/j.issn.1005-152X.2012.11.080 ZHAO Yuzhong,SONG Yang,CHEN Yehua.Study Risk Evaluation of Emergency Logistics Plans[J].Logistics Technology,2012(21):248-249,264.