基于模糊Petri网的光纤复合低压电缆故障诊断
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摘要
提出了一种基于动态自适应模糊Petri网(DAFPN)的光纤复合低压电缆(OPLC)故障诊断方法,该方法能计及OPLC中电缆发生故障时发热对光缆产生的影响,准确地进行OPLC故障的诊断与分类。在构建OPLC故障诊断的通用模糊Petri网模型的基础上,利用BP神经网络算法对Petri网模型中的参数进行学习、训练,以减少人为主观因素造成的误差。最后,用DAFPN对OPLC故障进行诊断,结果证明:相比较单独使用模糊Petri网,该方法能更好地动态适应专家系统中模糊知识的更新,有效提高OPLC故障诊断的准确度。
An OPLC fault diagnosis method is proposed based on Dynamic Adaptive Fuzzy Petri Net(DAFPN).The method can record the effect of heating on the optical cable when the electric cable fails in OPLC,and accurately diagnose and classify OPLC fault.First,the fuzzy Petri net model of general OPLC fault diagnosis is constructed.Then,the BP neural network algorithm is used to learn and train the parameters in the Petri net model,so as to reduce the error caused by the subjective factors.Finally,the DAFPN is used to diagnose the OPLC fault.Experimental results show that,comparing with using fuzzy Petri net along,the proposed method can better adapt to the dynamic fuzzy knowledge in expert system update,and can effectively improve the accuracy of fault diagnosis.
An OPLC fault diagnosis method is proposed based on Dynamic Adaptive Fuzzy Petri Net(DAFPN).The method can record the effect of heating on the optical cable when the electric cable fails in OPLC,and accurately diagnose and classify OPLC fault.First,the fuzzy Petri net model of general OPLC fault diagnosis is constructed.Then,the BP neural network algorithm is used to learn and train the parameters in the Petri net model,so as to reduce the error caused by the subjective factors.Finally,the DAFPN is used to diagnose the OPLC fault.Experimental results show that,comparing with using fuzzy Petri net along,the proposed method can better adapt to the dynamic fuzzy knowledge in expert system update,and can effectively improve the accuracy of fault diagnosis.
引文
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[16]Hao L,Gong Y,Wang Z,et al.Fault diagnosis for FMS based on BP algorism and Petri net[J].Computer Measurement&Control,2011,19(10):2401-2396.
[17]Deng F,Zhang E,Shang Q,et al.Application of BP neural network in faults diagnosis of process valve actuator[J].Lecture Notes in Electrical Engineering,2012,107:793-801.
[18]公茂法,张言攀,柳岩妮,等.基于BP网络算法优化模糊Petri网的电力变压器故障诊断[J].电力系统保护与控制,2015,43(3):113-117.Gong Mao-fa,Zhang Yan-pan,Liu Yan-ni,et al.Fault diagnosis of power transformers based on back propagation algorithm evolving fuzzy Petri nets[J].Power System Protection and Control,2015,43(3):113-117.
[19]Zheng F,Zeng L,Lu Y,et al.Fault diagnosis research for servo valve based on GA-BP neural network[J].Journal of Computational&Theoretical Nanoscience,2015,12(9):2846-2850.
[20]Abdulkareem A A,Abaas A H,Radi A T.Transmission line protection based on neural network fuzzy neural and fuzzy neural Petri net[J].Australian Journal of Basic&Applied Sciences,2011,5(11):1466-1479.
[2]乐坚浩,梅沁,李祥珍.光纤复合低压电缆(OPLC)和光纤复合相线(OPPC)故障诊断与在线监测系统研究[J].信息通信,2013(1):7-9.Le Jian-hao,Mei Qin,Li Xiang-zhen.Research on optical fiber composite low voltage cable(OPLC)and optical fiber composite phase line(OPPC)fault diagnosis and on-line monitoring system[J].Information Communication,2013(1):7-9.
[3]丁慧霞,滕玲,许高雄,等.用于电力光纤到户的光纤复合低压电缆接续技术研究[J].电网技术,2011,35(11):222-227.Ding Hui-xia,Teng Ling,Xu Gao-xiong,et al.Splicing technology of optical fiber composite low-voltage cable for fiber to the home[J].Power System Technology,2011,35(11):222-227.
[4]Ma D,Liang Y,Zhao X,et al.Multi-BP expert system for fault diagnosis of powersystem[J].Engineering Applications of Artificial Intelligence,2013,26(3):937-944.
[5]朱立忠,程楠.人工神经网络的电网故障诊断[J].沈阳理工大学学报,2017,36(1):102-106.Zhu Li-zhong,Cheng Nan.Fault diagnosis of power network by artificial neural network[J].Journal of Shenyang Ligong University,2017,36(1):102-106.
[6]Wang S Q,Gao J G,Lu W.Research for CNC machine tool servo system fault diagnosis expert system[J].Advanced Materials Research,2011,284-286:2489-2492.
[7]张金江,梁耀升,尹玉娟,等.基于模糊理论与支持向量机的变压器故障诊断方法[J].电力科学与技术学报,2011,26(2):61-66.Zhang Jin-jiang,Liang Yao-sheng,Yin Yu-juan,et al.Fault diagnosis method of transformer based on fuzzy theory and support vector machine[J].Journal of Electric Power Science and Technology,2011,26(2):61-66.
[8]谢红涛,童晓阳.基于分层模糊Petri网的电网故障综合诊断方法[J].电网技术,2012,36(1):246-252.Xie Hong-tao,Tong Xiao-yang.A method of synthetical fault diagnosis for power system based on fuzzy hierarchical Petri net[J].Power System Technology,2012,36(1):246-252.
[9]杨健维,何正友,臧天磊.基于方向性加权模糊Petri网的电网故障诊断方法[J].中国电机工程学报,2010,30(34):42-49.Yang Jian-wei,He Zheng-you,Zang Tian-lei.Power system fault-diagnosis method based on directional weighted fuzzy Petri nets[J].Proceedings of the CSEE,2010,30(34):42-49.
[10]Liu H C,Liu L,Lin Q L,et al.Knowledge acquisition and representation using fuzzy evidential reasoning and dynamic adaptive fuzzy Petri nets[J].IEEE Transactions on Cybernetics,2013,43(3):1059-1072.
[11]Zhang Y,Wen F.A fuzzy Petri net based approach for fault diagnosis in power systems considering temporal constraints[J].International Journal of Electrical Power&Energy Systems,2016,78(6):215-224.
[12]Xie H,Tong X.A method of synthetical fault diagnosis for power system based on fuzzy hierarchical Petri net[J].Power System Technology,2012,36(1):246-252.
[13]孟飞翔,雷英杰,余晓东,等.基于直觉模糊Petri网的知识表示和推理[J].电子学报,2016,44(1):77-86.Meng Fei-xiang,Lei Ying-jie,Yu Xiao-dong,et al.Knowledge representation and reasoning using intuitionistic fuzzy Petri nets[J].Acta Electronica Sinica,2016,44(1):77-86.
[14]Wang L,Chen Q,Gao Z,et al.Knowledge representation and general Petri net models for power grid fault diagnosis[J].Generation Transmission&Distribution Iet,2015,9(9):866-873.
[15]高正中,龚群英,刘隆吉,等.基于BP网络算法优化粗糙-Petri网的电网故障诊断[J].中国电力,2016,49(8):12-16.Gao Zheng-zhong,Gong Qun-ying,Liu Long-ji,et al.Fault diagnosis of power grid based on BP network algorithm to optimize rough-Petri network[J].Electric Power,2016,49(8):12-16.
[16]Hao L,Gong Y,Wang Z,et al.Fault diagnosis for FMS based on BP algorism and Petri net[J].Computer Measurement&Control,2011,19(10):2401-2396.
[17]Deng F,Zhang E,Shang Q,et al.Application of BP neural network in faults diagnosis of process valve actuator[J].Lecture Notes in Electrical Engineering,2012,107:793-801.
[18]公茂法,张言攀,柳岩妮,等.基于BP网络算法优化模糊Petri网的电力变压器故障诊断[J].电力系统保护与控制,2015,43(3):113-117.Gong Mao-fa,Zhang Yan-pan,Liu Yan-ni,et al.Fault diagnosis of power transformers based on back propagation algorithm evolving fuzzy Petri nets[J].Power System Protection and Control,2015,43(3):113-117.
[19]Zheng F,Zeng L,Lu Y,et al.Fault diagnosis research for servo valve based on GA-BP neural network[J].Journal of Computational&Theoretical Nanoscience,2015,12(9):2846-2850.
[20]Abdulkareem A A,Abaas A H,Radi A T.Transmission line protection based on neural network fuzzy neural and fuzzy neural Petri net[J].Australian Journal of Basic&Applied Sciences,2011,5(11):1466-1479.