舰船综合电力系统设备故障的贝叶斯-可拓诊断模型
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摘要
为了对舰船电力推进系统设备发生的故障进行分析与诊断,利用可拓识别方法和贝叶斯判别方法,并结合Matlab仿真,提出了一种舰船综合电力推进系统设备故障损伤程度的贝叶斯-可拓诊断方法。该方法在考虑各故障总体的分布函数、先验概率及误判损失的基础上,既考虑了决定待诊断舰船电力推进系统设备故障损伤的各判别特征指标与各故障总体相应特征指标的"关联"程度,又考虑了故障总体各判别特征指标的权系数。通过对算例的分析,表明该方法集合了可拓识别方法和贝叶斯方法的优点,实用性和优越性较强,在舰船综合电力系统设备故障诊断中有较好的应用推广前景。
In order to accurately analyze and diagnose the damage degree of power equipment in ship electric propulsion system,it combined extension recognition method,bayed discriminant method and Matlab simulation,and put forward a Bayes-extension diagnosis method for damage degree of equipment in ship integrated electric propulsion system. The method was based on the fault distribution function,the prior probability and misclassification loss,and it not only consider the "correlation"degree between the distinguishing characteristic indexes and the corresponding characteristic indexes of the fault population,but also considered the weight coefficients of the distinguishing characteristic indexes of the fault population. Through the analysis of the example,it shows this method is more practical and superior,and has a good application and popularization prospect in equipment fault diagnosis of integrated power system.
In order to accurately analyze and diagnose the damage degree of power equipment in ship electric propulsion system,it combined extension recognition method,bayed discriminant method and Matlab simulation,and put forward a Bayes-extension diagnosis method for damage degree of equipment in ship integrated electric propulsion system. The method was based on the fault distribution function,the prior probability and misclassification loss,and it not only consider the "correlation"degree between the distinguishing characteristic indexes and the corresponding characteristic indexes of the fault population,but also considered the weight coefficients of the distinguishing characteristic indexes of the fault population. Through the analysis of the example,it shows this method is more practical and superior,and has a good application and popularization prospect in equipment fault diagnosis of integrated power system.
引文
[1]芦竹茂,王天正,俞华,等.基于红外图像分析的电力设备热故障检测技术研究[J].现代电子技术,2017,40(11):123-126.
[2]JAGTAP H P,BEWOOR K.Development of an Algorithm for Identification and Confirmation of Fault in Thermal Power Plant Equipment Using Condition Monitoring Technique[J].Procedia Engineering,2017,181:690-697.
[3]王丰,顾佼佼,曹倩,等.马尔可夫过程的传导转移概率及工程研究应用[J].华中师范大学学报(自然科学版),2018,52(6):773-777.
[4]李曜,胡祎.潮流计算在舰船电力系统稳定性分析的应用[J].舰船科学技术,2017,39(18):109-111.
[5]尚安利,夏立,王征.舰船电力系统一体化系统模型和故障恢复研究[J].电工技术学报,2016,31(2):163-170.
[6]石少伟,王可,陈力等.基于模糊综合评价和贝叶斯判别的电力变压器状态判别和预警[J].电力自动化设备,2016,36(9):60-66.
[7]谭杰.基于Bayes判别分析的配电网故障选线方法[J].电力学报,2016,31(3):217-223.
[8]杨春燕,蔡文.可拓学[M].北京:科学出版社,2014:70-170.
[9]高亚娴.电力变压器故障诊断及寿命预测方法的研究[D].西安:西安电子科技大学,2007.
[10]李日华,毛凯,周刚.Bayes-可拓判别[J].系统工程理论与实践,2005(7):131-135.
[11]王丰.导弹武器系统参数性能指标的可拓数据挖掘[J/OL].智能系统学报:1-8[2018-06-27].http://kns.cnki.net/kcms/detail/23.1538.TP.20180503.1148.005.html.
[12]叶志浩,肖晗,王刚,等.舰船电力系统短路保护性能量化评估方法[J].电机与控制学报,2015,19(12):1-6.
[13]魏一,张跃文,李斌.基于DPC-GMM算法的船舶燃油系统故障诊断研究[J/OL].中国舰船研究:1-7[2018-07-16].https://doi.org/10.19693/j.issn.1673-3185.01262.
[14]王丰,张磊,胡春万.基于多级优度评价方法的导弹武器系统效能评估[J].指挥控制与仿真,2017,39(3):74-77.
[15]王丰,袁延昭,张新春,等.共轭分析与传导度在导弹武器系统作战效能研究中的应用[J].兵工自动化,2013(11):24-26.
[16]戚双斌.舰船电力系统电力品质指标选择与测试方法[J].船海工程,2017,46(4):69-71,76.
[17]胡红钱,施伟锋,兰莹,等.基于以太网的船舶电力系统动态电能质量监测与故障诊断系统设计[J].中国舰船研究,2018,13(1):120-126.
[18]王丰,张磊.可拓论的防空导弹武器系统效能的研究[J].现代防御技术,2018,46(3):9-17.
[19]王丰,顾佼佼,林瑜.航空装备故障损伤等级的可拓精准评定研究[J].计算机测量与控制,2018(6):261-263,267.
[2]JAGTAP H P,BEWOOR K.Development of an Algorithm for Identification and Confirmation of Fault in Thermal Power Plant Equipment Using Condition Monitoring Technique[J].Procedia Engineering,2017,181:690-697.
[3]王丰,顾佼佼,曹倩,等.马尔可夫过程的传导转移概率及工程研究应用[J].华中师范大学学报(自然科学版),2018,52(6):773-777.
[4]李曜,胡祎.潮流计算在舰船电力系统稳定性分析的应用[J].舰船科学技术,2017,39(18):109-111.
[5]尚安利,夏立,王征.舰船电力系统一体化系统模型和故障恢复研究[J].电工技术学报,2016,31(2):163-170.
[6]石少伟,王可,陈力等.基于模糊综合评价和贝叶斯判别的电力变压器状态判别和预警[J].电力自动化设备,2016,36(9):60-66.
[7]谭杰.基于Bayes判别分析的配电网故障选线方法[J].电力学报,2016,31(3):217-223.
[8]杨春燕,蔡文.可拓学[M].北京:科学出版社,2014:70-170.
[9]高亚娴.电力变压器故障诊断及寿命预测方法的研究[D].西安:西安电子科技大学,2007.
[10]李日华,毛凯,周刚.Bayes-可拓判别[J].系统工程理论与实践,2005(7):131-135.
[11]王丰.导弹武器系统参数性能指标的可拓数据挖掘[J/OL].智能系统学报:1-8[2018-06-27].http://kns.cnki.net/kcms/detail/23.1538.TP.20180503.1148.005.html.
[12]叶志浩,肖晗,王刚,等.舰船电力系统短路保护性能量化评估方法[J].电机与控制学报,2015,19(12):1-6.
[13]魏一,张跃文,李斌.基于DPC-GMM算法的船舶燃油系统故障诊断研究[J/OL].中国舰船研究:1-7[2018-07-16].https://doi.org/10.19693/j.issn.1673-3185.01262.
[14]王丰,张磊,胡春万.基于多级优度评价方法的导弹武器系统效能评估[J].指挥控制与仿真,2017,39(3):74-77.
[15]王丰,袁延昭,张新春,等.共轭分析与传导度在导弹武器系统作战效能研究中的应用[J].兵工自动化,2013(11):24-26.
[16]戚双斌.舰船电力系统电力品质指标选择与测试方法[J].船海工程,2017,46(4):69-71,76.
[17]胡红钱,施伟锋,兰莹,等.基于以太网的船舶电力系统动态电能质量监测与故障诊断系统设计[J].中国舰船研究,2018,13(1):120-126.
[18]王丰,张磊.可拓论的防空导弹武器系统效能的研究[J].现代防御技术,2018,46(3):9-17.
[19]王丰,顾佼佼,林瑜.航空装备故障损伤等级的可拓精准评定研究[J].计算机测量与控制,2018(6):261-263,267.