杨洪耕,肖先勇,刘俊勇.电能质量问题的研究和技术进展(一)#x02014;#x02014;电能质量一般概念[J].电力自动化设备,2003,23(10):1-4.Yang Honggeng,Xiao xianyong,Liu Junyong.Issues and technology assessment on power quality part 1:general concepts on power quality[J].Electric Power Automation Equipment,2003,23(10):1-4(in Chinese).
[2]
Bollen M H J.What is power quality[J].Electric Power Systems Research,2003,66(1):5-14.
[3]
杨洪耕,刘守亮,肖先勇,等.基于S变换的电压凹陷分类专家系统[J].中国电机工程学报,2007,27(1):98-104.Yang Honggeng,Liu Shouliang,Xiao Xianyong,et al.S-transform-based expert system for classification of voltage dips[J].Proceedings of the CSEE,2007,27(1):98-104(in Chinese).
[4]
林海雪.现代电能质量的基本问题[J].电网技术,2001,25(10):5-12.Lin Haixue.Main problems of modern power quality[J].Power System Technology,2001,25(10):5-12(in Chinese).
[5]
Khadkikar V,Chandra A,Barry A O,et al.Power quality enhancement utilising single-phase unified power quality conditioner:digital signal processor-based experimental validation[J].IET Power Electronics,2011,4(3):323-331.
[6]
周雒维,管春,卢伟国.多标签分类法在电能质量复合扰动分类中的应用[J].中国电机工程学报,2011,31(4):45-50.Zhou Luowei,Guan Chun,Lu Weiguo.Application of multi-label classification method to catagorization of multiple power quality disturbances[J].Proceedings of the CSEE,2011,31(4):45-50(in Chinese).
[7]
占勇,程浩忠.电能质量复合扰动分类识别[J].电力自动化设备,2009,29(3):93-97.Zhan Yong,Cheng Haozhong.Classification of power quality complex disturbances[J].Electric Power Automation Equipment,2009,29(3):93-97(in Chinese).
[8]
Lin W M,Wu C H,Lin C H,et al.Detection and classification of multiple power-quality disturbances with wavelet multiclass SVM[J].IEEE Transactions on Power Delivery,2008,23(4):2575-2582.
[9]
管春,周雒维,卢伟国.基于多标签RBF神经网络的电能质量复合扰动分类方法[J].电工技术学报,2011,26(8):198-204.Guan Chun,Zhou Luowei,Lu Weiguo.Recognition of multiple power quality disturbances using multi-label RBF neural networks[J].Transactions of China Electro technical Society,2011,26(8):198-204(in Chinese).
[10]
Elisseeff A,Weston J.A kernel method for multi-labelled classification[C]//Advances in Neural Information Processing Systems.Cambridge:MIT Press 2002:681-687.
[11]
Li Z,Weida Z,Licheng J.Wavelet support vector machine[J].IEEE Transactions on Systems,Man,and Cybernetics,Part B:Cybernetics,2004,34(1):34-39.
[12]
李元诚,方廷健.小波支持向量核[J].模式识别与人工智能,2004,17(2):167-172.Li Yuancheng,Fang Tingjian.Wavelet support vector machines[J].Pattern Recognition and Artificial Intelligence,2004,17(2):167-172(in Chinese).
[13]
何正友,蔡玉梅,钱清泉.小波熵理论及其在电力系统故障检测中的应用研究[J].中国电机工程学报,2005,25(5):23-43.He Zhengyou,Cai Yumei,Qian Qingquan.A study of wavelet entropy theory and its application in electric power system fault detection[J].Proceedings of the CSEE,2005,25(5):23-43(in Chinese).
[14]
Tsallis C.Possible generalization of Boltzmann-gibbs statistics[J].Journal of Statistical Physics,1988,52(1-2):479-487.
[15]
李庚银,王洪磊,周明.基于改进小波能熵和支持向量机的短时电能质量扰动识别[J].电工技术学报,2009,24(4):161-167.Li Gengyin,Wang Hongwei,Zhou Ming.Short-time power quality disturbances identification based on improved wavelet energy entropy and SVM[J].Transactions of China Electrotechnical Society,2009,24(4):161-167(in Chinese).
[16]
陈继开,李浩昱,杨世彦,等.Tsallis小波包奇异熵与功率谱分析在电力谐波检测的应用[J].电工技术学报,2010,25(8):193-199.Chen Jikai,Li Haoyu,Yang Shiyan,et al.Application of wavelet packet singularity entropy and PSD in power harmonics detection[J].Transactions of China Electrotechnical Society,2010,25(8):193-199(in Chinese).
[17]
Zhang M L,Zhou Z H.ML-kNN:A lazy learning approach to multi-label learning [J].Pattern Recognition,2007,40(7):2038-2048.
[18]
Elisseeff A,Weston J.Kernel methods for multi-labeled classification and categorical regression problems[R].Technical Report,BIOwulf Technologies,2001.
[19]
Li Z,Weida Z,Licheng J.Wavelet support vector machine [J].Systems,Man,and Cybernetics,Part B:Cybernetics,IEEE Transactions on,2004,34(1):34-39.
[20]
Malathi V,Karthikeyan M.Wavelet-support vector machine approach for classification of power quality disturbances[J].International Journal of Recent Trends in Engineering,2009,1(3):290-293.
[21]
Wei C C.Wavelet kernel support vector machines forecasting techniques:case study on water-level predictions during typhoons[J].Expert System With Applications,2012,39(4):5189-5199.
[22]
Zhang M L,Zhou Z H.Multi-label neural networks with applications to functional genomics and text categorization[J].IEEE Trans. on Knowledge and Data Engineering,2006,18(10):1338-1351.
[23]
Zhang M L,Pe#x000f1;a J M,Robles V.Feature selection for multi-label naive Bayes classification[J].Information Sciences,2009(179):3218-3229.
[24]
郑永康,陈维荣,戴朝华,等.高斯小波支持向量机的研究[J].信息与控制,2008,37(6):670-674.Zheng Yongkang,Chen Weirong,Dai Chaohua,et al.Study on Gaussian wavelet support vector machine[J].Information and Control,2008,37(6):670-674(in Chinese).
[25]
张杨.混合电能质量扰动信号识别算法研究[D].成都:西南交通大学,2012.Zhang Yang.The study on recognition algorithms of mixed power quality disturbances[D].Chengdu:Southwest Jiaotong University,2012(in Chinese).
[26]
张杨,刘志刚.一种基于时频域多特征量的电能质量混合扰动分类新方法[J].中国电机工程学报,2012,32(34):83-90.Zhang Yang,Liu Zhigang.A new method for power quality mixed disturbance classification based on time-frequency domain multiple features[J].Proceedings of the CSEE,2012,32(34):83-90(in Chinese).