Chaotic Characteristics of Partial Discharges Time Series in Oil-Paper Insulation with Applications to Pattern Recognition

您当前的位置：

首页 >

文章列表页 >

Chaotic Characteristics of Partial Discharges Time Series in Oil-Paper Insulation with Applications to Pattern Recognition

更新时间：2025-07-09

- Chaotic Characteristics of Partial Discharges Time Series in Oil-Paper Insulation with Applications to Pattern Recognition
- Vol. 44, Issue 12, Pages: 55-60(2010)
- 作者机构：
  
  西安交通大学电气工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM835.4
- Online First：10 December 2010，
  
  Published：2010
- 稿件说明：
移动端阅览
Chaotic Characteristics of Partial Discharges Time Series in Oil-Paper Insulation with Applications to Pattern Recognition[J]. 2010, 44(12): 55-60.
DOI：

Chaotic Characteristics of Partial Discharges Time Series in Oil-Paper Insulation with Applications to Pattern Recognition[J]. 2010, 44(12): 55-60. DOI：

摘要

为了对局部放电进行识别

建立并使用电脉冲法测量了油纸绝缘中的5种典型缺陷模型

利用混沌方法研究了局部放电的时间序列信号.结果表明

局部放电具有明显的混沌特征

是一个混沌过程.根据局部放电的混沌时间序列和由其得到的混沌吸引子能定性地分析和识别局部放电类型.选取相空间重构参数和重构后的混沌特征量对局部放电的混沌特性进行了定量表征.利用径向基(RBF)神经网络对相间局部放电(PRPD)和局部放电的混沌分析(CAPD)方法分别作了模式识别的效果验证和比较

表明两者的识别结果良好且各有优势.综合选取PRPD模式的统计算子与CAPD模式的混沌特征量作为神经网络的输入向量

平均正判率达到95%以上

明显提高了局部放电类型的识别效果.

Abstract

To recognize partial discharges(PD)

five kinds of typical defects in oil-paper insulation are constructed and measured with current pulse method

and chaos method is used to researched the time series of PD signals. The results reveal that the PD is of obviously chaotic characteristic

and the PD process is chaotic one. The PD patterns can be qualitatively analyzed and recognized by the chaotic time series of PD and their chaotic attractors. Phase space reconstruction parameters and post-reconstruction chaotic characteristic quantities can be selected to quantify the PD chaotic characteristics. The verification and comparison between pattern recognition effects of PRPD and CAPD are performed respectively by adopting the neural network of radial basis function(RBF)

it is found that both schemes possess good own advantages. The statistical operators in PRPD mode and chaotic characteristic quantities in CAPD mode are comprehensively selected as the input vectors of neural network

and the average recognition rate can reach 95% to greatly improve the recognition on PD.

关键词

Keywords

references

OKAMOTO T, TANAKA T. Novel partial discharge measurement computer-aided measurement systems[J]. IEEE Transactions on Electrical Insulation, 1986, 21(6): 1015-1019.

ALTENBURGER R, HEITZ C, TIMMER J. Analysis of phased-resolved partial discharge patterns of voids based on a stochastic process approach[J]. Journal of Physics: D Applied Physics, 2002,35(11):1149-1163.

PATSCH R, BERTOR F. Pulse sequence analysis-a diagnostic tool based on the physics behind partial discharges[J]. Journal of Physics: D Applied Physics, 2002,35(1):25-32.

SI Wenrong, LI Junhao, YUAN Peng, et al. Digital detection, grouping and classification of partial discharge signals at DC voltage[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2008, 15(6):1663-1674.

MIZUKAMI Y, INOUE T. Nonlinear dynamical study of partial discharge phenomena[C]∥Proceedings of the 1999 IEEE 13th International Conference on Dielectric Liquids. Piscataway, NJ, USA: IEEE, 1999: 513-516.

LIM Y S, KIM S H. Identification of chaotic characteristics in partial discharge[C]∥Proceedings of the 1999 IEEE 13th International Conference on Dielectric Liquids. Piscataway, NJ, USA: IEEE, 1999: 556-559.

LIM Y, KOO J, KANG W,et al. Chaotic analysis of partial discharge(CAPD)as a novel approach to investigate insulation degradation caused by the various defects[C]∥Proceedings of IEEE International Symposium on Industrial Electronics. Piscataway,NJ,USA:IEEE, 2001:413-416.

黄平,罗勇芬,李彦明. 局部放电混沌分析方法的研究现状及发展[J]. 高压电器, 2009, 45(1):89-94.

HUANG Ping, LUO Yongfen, LI Yanming. Current status and development of chaotic analysis of partial discharge[J]. High Voltage Apparatus, 2009, 45(1):89-94.

吕金虎,陆君安,陈士华. 混沌时间序列分析及应用[M]. 武汉:武汉大学出版社, 2002.

KENNEL M B, BROWN R, ABARBANEL H D. Determining embedding dimension for phase-space reconstruction using a geometrical construction[J]. Physical Review: A, 1992, 45(5): 3403-3411.

WILDE P D. Neural network models: theory and projects[M]. New York, USA: Springer,1997.

真空中绝缘子闪络前表面电荷分布的二维仿真.2008,42(4):476-480.

电力变压器局部放电特高频信号外部传播特性研究. 西安交通大学学报, 2008,42(6):718-722.

一种可用于绝缘子沿面放电状态识别的算法. 西安交通大学学报, 2008,42(10):1269-1274.

采用独立成分分析的局部放电脉冲双通道提取技术研究. 西安交通大学学报, 2008,42(10):1264-1268.

直线及L型GIS模型电磁波传播特性研究. 西安交通大学学报, 2008,42(10):1280-1284.

气体绝缘开关直线和T型结构中电磁波传播特性的仿真. 西安交通大学学报, 2008,42(12):1526-1530.

油/纸绝缘沿面局部放电特性研究. 西安交通大学学报, 2009,43(6):108-112.

雷电冲击电压下油纸绝缘气隙模型的局部放电测量与分析. 西安交通大学学报, 2009,43(12):75-80.

正脉冲电压下水中流注放电特性的研究. 西安交通大学学报, 2009,43(2):96-100.

气体绝缘开关内自由运动金属颗粒的超声波信号特性. 西安交通大学学报, 2009,43(2):101-105.

带电水蒸气冲洗污秽绝缘子时的交流闪络特性研究. 西安交通大学学报, 2009,43(12):96-100.

带电压反馈智能接触器的热分析模型. 西安交通大学学报, 2010,44(8):90-95.

变压器油流动带电度的微静电测量方法及其影响因素. 西安交通大学学报, 2010,44(8):96-100.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Chaos Small-World Optimal Algorithm Based on Population Entropy

Synchronization of a Class of Partially Unknown Chaotic System with Adaptive Nonlinear Observer

Performance Degradation Model of Application Server System Based on Time Series Analysis

A Relational Analysis Approach of Time Series with Uncertain Information

Bifurcation and Chaos Characteristics for Ball-Screw System Considering Nonlinear Elastic Force

Related Author

袁明新

杜海峰

王孙安

庄健

王晶 1

高金峰 2

马西奎 1

徐文彬 1

Related Institution

School of Mechanical Engineering, Xi'an Jiaotong University

Department of Computer, Changshu University of Technology, Changshu

School of Electronics and Information Engineering, Xi'an Jiaotong University

Engineering Institute, Air Force Engineering University

School of Mechanical and Electronical Engineering, Lanzhou University of Technology

⁰