| [1] | 赵道利，梁武科，罗兴锜，等． 水电机组振动信号的子带能量特征提取方法研究[J]． 水力发电学报， 2004，23(6)：116-119． Zhao Daoli，Liang Wuke，Luo Xingqi，et al．On sub-band energy feature extraction method of vibration fault signals of hydroelectric sets[J]．Journal of Hydroelectric Engineering，2004，23(6)
|
| [2] | 杨晓萍，解建宝，孙超图． 水轮发电机组振动故障诊断的神经网络方法研究[J]． 水力学报， 1998(S1)：94-97． Yang Xiaoping，Xie Jianbao，Sun Chaotu．Neural network method for vibration fault diagnosis of hydroelectric generating set[J]．Journal of Hydraulic Engineering，1998(S1)
|
| [3] | 梁武科，赵道利，马薇． 基于粗糙集-RBF神经网络的水电机组故障诊断[J]． 仪器仪表学报， 2007，28(10)：1806-1809． Liang Wuke，Zhao Daoli，Ma Wei．Fault diagnosis of hydroelectric units based on rough set & RBF network[J]．Chinese Journal of Scientific Instrument，2007，28(10)
|
| [4] | 赵道利，马薇，梁武科，等． 水电机组振动故障的信息融合诊断与仿真研究[J]． 中国电机工程学报， 2005，25(20)：137-142． Zhao Daoli，Ma Wei，Liang Wuke，et al．Study on data fusion fault diagnosis and simulation of hydroelectric units vibration[J]．Proceedings of the CSEE，2005，25(20)
|
| [5] | 张孝远，周建中，黄志伟，等． 基于粗糙集和多类支持向量机的水电机组振动故障诊断[J]． 中国电机工程学报， 2011，30(20)：88-93． Zhang Xiaoyuan，Zhou Jianzhong，Huang Zhiwei，et al．Vibrant fault diagnosis for hydro-turbine generating unit based on rough sets and multi-class support vector machine[J]．Proceedings of the CSEE，2011，30(20)
|
| [6] | Zhang Xiaoyuan，Zhou Jianzhong，Guo Jun，et al． Vibrant fault diagnosis for hydroelectric generator units with a new combination of rough sets and support vector machine[J]． Expert Systems With Applications， 2012，39(3)：2621-2628．
|
| [7] | Xu Chunmei，Zhang Hao，Peng Daogang，et al． Study of fault diagnosis of integrate of D-S evidence theory based on neural network for turbine[J]． Energy Procedia， 2012(16)：2027-2032．
|
| [8] | Yu Wenning，Wang Yalin，Gui Weihua，et al． A vibration fault diagnosis system of HGS based on FNN Fault Detection[C]//Proceeding of the 6th IFAC Symposium on Fault Detection，Supervision and Safety of Technical Processes，Beijing，China，2006．
|
| [9] | Jia Rong，Huang Ge． Hydroelectric generating unit vibration fault diagnosis via BP neural network based on particle swarm optimization[C]//Proceeding of International Conference on Sustainable Power Generation and Supply，Nanjiang，China，2009．
|
| [10] | Yan R Q，Liu Y B，Gao R X． Permutation entropy：A nonlinear statistical measure for status characterization of rotary machines[J]． Mechanical Systems and Signal Processing， 2011(29)：474-484．
|
| [11] | 陈铁华，陈启卷． 模糊聚类分析在水电机组振动故障诊断中的应用[J]． 中国电机工程学报， 2002，22(3)：43-47． Chen Tiehua，Chen Qijuan．Fuzzy clustering analysis based vibration fault diagnosis of hydroelectric generating unit[J]．Proceedings of the CSEE，2002，22(3)
|
| [12] | 雷亚国，何正嘉，訾艳阳，等． 混合聚类新算法及其在故障诊断中的应用[J]． 机械工程学报， 2006，42(12)：117-121． Lei Yaguo，He Zhengjia，Zi Yanyang，et al．Novel hybrid clustering algorithm and its application to fault diagnosis[J]．Chinese Journal of Mechanical Engineering，2006，42(12)
|
| [13] | 李超顺，周建中，杨俊杰，等． 基于混合模糊聚类分析的汽轮发电机组振动故障诊断[J]． 电力系统自动化， 2008，32(5)：81-84． Li Chaoshun，Zhou Jianzhong，Yang Junjie，et al．Vibration fault diagnosis of turbo-generator set based on hybrid fuzzy clustering analysis[J]．Automation of Electric Power Systems，2008，32(5)
|
| [14] | Liu Jingwei，Xu Meizhi． Kernelized fuzzy attribute C-means clustering algorithm[J]． Fuzzy Sets and Systems， 2008，159(18)：2428-2445．
|
| [15] | 李超顺，周建中，安学利，等． 基于加权模糊核聚类的发电机组振动故障诊断[J]． 中国电机工程学报， 2008，28(35)：79-83． Li Chaoshun，Zhou Jianzhong，An Xueli，et al．Vibration fault diagnosis of generating set based on weighted fuzzy kernel clustering[J]．Proceedings of the CSEE，2008，28(35)
|
| [16] | 刘晓波，黄其柏． 基于动态核聚类分析的水轮机组故障模式识别[J]． 华中科技大学学报：自然科学版， 2005，33(9)：47-49． Liu Xiaobo，Huang Qibai．Classification on the modes of hydro-generator unit fault based on dynamic kernel cluster analysis[J]．Journal Huazhong University of Science & Technology
|
| [17] | 普运伟，金炜东，朱明，等． 核空间中的Xie-Beni指标及其性能[J]． 控制与决策， 2007，22(7)：829-832． Pu Yunwei，Jin Weidong，Zhu Ming，et al．Kernelized Xie-Beni index and its performance[J]．Control and Decision，2007，22(7)
|
| [18] | Esmat R，Hossein N-p，Saeid S． GSA：a gravitational search algorithm[J]． Information Sciences， 2009；179(13)：2232-2248．
|
| [19] | Li Chaoshun，Zhou Jianzhong． Parameters identification of hydraulic turbine governing system using improved gravitational search algorithm[J]． Energy Convers Manage， 2011，52(1)：374-381．
|
| [20] | Duman S，Güven？ U，S？nmez Y，et al． Optimal power flow using gravitational search algorithm[J]． Energy Conversion and Management， 2012(59)：86-95．
|
