Multiple ANNs Combined Scheme for Fault Diagnosis of Power Transformers

被引：0

作者：

Tian, Huixin ^{[1
]}

Li, Kun ^{[2
]}

Meng, Bo ^{[1
]}

机构：

[1] Tianjin Polytech Univ, Elect Engn & Automat Dept, Tianjin, Peoples R China

[2] Tianjin Polytech Univ, Dept Management, Tianjin, Peoples R China

来源：

2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6 | 2011年

关键词：

Fault diagnosis; ELM; power transforers; ensemble technique; EXTREME LEARNING-MACHINE;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

It is very important to find the incipient faults of power transformers for keeping away from the further deterioration in modern power system. For enhancing the accuracy of fault diagnosis for power transformers, a multiple ANNs scheme is proposed in this paper. In this scheme, a novel ANN method ELM is used to establish the base classifier for its good performance and fast learning speed. Secondly, the several base classifiers based on single ELM will be combined by consulting ensemble techniques. And then a multiple ELMs method is obtained. The real gas records data from a power company is used to establish fault diagnosis system for power transformers based on the new multiple ELMs method. For comparison, the conventional method and other ANN method are used to build fault diagnosis models by the same data. The experiments demonstrate the new multiple ELMs method has the best performance in both learning ability aspect and generalization ability aspect for fault diagnosis of power transformers.

引用

页码：2557 / +

页数：2

共 50 条

[21] Fault diagnosis model for power transformers based on information fusion
Dong, M
Yan, Z
Yang, L
Judd, MD
MEASUREMENT SCIENCE AND TECHNOLOGY, 2005, 16 (07) : 1517 - 1524
[22] Rough set theory based fault diagnosis on power transformers
Computer School, North China Electric Power University, Baoding 071003, China
Yi Qi Yi Biao Xue Bao, 2006, SUPPL. (1722-1723):
[23] FUZZY CLASSIFICATION OF FAULT DIAGNOSIS USING ANNS
潘丹
郑启伦
黄茜
翁向辉
罗干英
华南理工大学学报(自然科学版), 1999, (04) : 92 - 97
[24] Fuzzy classification of fault diagnosis using ANNs
Huanan Ligong Daxue Xuebao, 4 (92-97):
[25] Artificial Neural Networks Based incipient fault diagnosis for Power Transformers
Siddique, Mohammad Ali Akhtar
Mehfuz, Shabana
2015 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2015,
[26] Hybrid Systems State Estimation Applied to Power Transformers Fault Diagnosis
Leao, Bruno P.
Dutra, Alessandro J. S.
Reis, Debora C. S.
de Souza, Luiz Felipe W.
Arango, Tania Paola L.
Salim, Rodrigo H.
Alves da Silva, Alexandre P.
2015 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM APPLICATION TO POWER SYSTEMS (ISAP), 2015,
[27] Artificial immune network classification algorithm for fault diagnosis of power transformers
Key Laboratory of High Voltage and Electrical New Technology, Chongqing University, Chongqing 400030, China
Dianli Xitong Zidonghue, 2006, 6 (57-60):
[28] Time-time-transform application to fault diagnosis of power transformers
Ashrafian, A.
Vahidi, Behrooz
Mirsalim, Mojtaba
IET GENERATION TRANSMISSION & DISTRIBUTION, 2014, 8 (06) : 1156 - 1167
[29] An Automated On-line Monitoring and Fault Diagnosis System for Power Transformers
Liang, Yishan
Wang, Zhenyuan
Liu, Yilu
2006 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION. VOLS 1-5, 2006, : 1105 - +
[30] Blind source separation of vibration signals for fault diagnosis of power transformers
Zheng Jing
Huang Hai
Hong Kaixing
Zhou Jianping
Liu Jiangmin
Zhou Yangyang
PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2014, : 412 - +

← 1 2 3 4 5 →