Results 41 to 50 of about 14,646 (305)

A Method of Transformer Fault Diagnosis Based onImproved BP Neural Network

Kongzhi Yu Xinxi Jishu, 2021
Relationship between transformer internal faults and gases dissolved in oil with different components and different contents is the main research content of transformer fault diagnosis.
GUO Lin, TANG Jing, TANG Lizhe, ZHAN Yanhao, LI Fei   +4 more
doaj  

Supporting group maintenance through prognostics-enhanced dynamic dependability prediction [PDF]

, 2017
Condition-based maintenance strategies adapt maintenance planning through the integration of online condition monitoring of assets. The accuracy and cost-effectiveness of these strategies can be improved by integrating prognostics predictions and ...
Aizpurua, J. I., Aizpurua, Jose Ignacio, Catterson, V. M., Catterson, Victoria, Chiacchio, F., Chiacchio, Ferdinando, D'Urso, D., D'Urso, Diego, Papadopoulos, Y., Papadopoulos, Yiannis   +9 more
core   +1 more source

Convolutional-Transformer Model with Long-Range Temporal Dependencies for Bearing Fault Diagnosis Using Vibration Signals

Machines, 2023
Fault diagnosis of bearings in rotating machinery is a critical task. Vibration signals are a valuable source of information, but they can be complex and noisy.
Hosameldin O. A. Ahmed, Asoke K. Nandi
doaj   +1 more source

Fault diagnosis of power transformers using graph convolutional network [PDF]

CSEE Journal of Power and Energy Systems, 2020
Existing methods for transformer fault diagnosis either train a classifier to fit the relationship between dissolved gas and fault type or find some similar cases with unknown samples by calculating the similarity metrics. Their accuracy is limited, since they are hard to learn from other algorithms to improve their own performance.
Liao, Wenlong, Yang, Dechang, Wang, Yusen, Ren, Xiang   +3 more
openaire   +2 more sources

Early fault diagnosis of transformer winding based on ReliefF-mRMR leakage magnetic field feature optimization and improved LSSVM

Diance yu yibiao
Aiming at the problem of complex transformer structure and small amount of early winding fault sample data, in order to improve the accuracy of transformer winding fault type diagnosis, this paper proposes an early fault diagnosis model of transformer ...
LIU Jianfeng, DONG Qianwen, TIAN Shuxin, LIU Mengqi, MEI Zhicong, ZHOU Hai   +5 more
doaj   +1 more source

Classification of EMI discharge sources using time–frequency features and multi-class support vector machine [PDF]

, 2018
This paper introduces the first application of feature extraction and machine learning to Electromagnetic Interference (EMI) signals for discharge sources classification in high voltage power generating plants.
Boreham, Philip, Hughes-Narborough, Michael, Mitiche, Imene, Morison, Gordon, Nesbitt, Alan, Stewart, Brian G.   +5 more
core   +2 more sources

A Novel Integrated Method to Diagnose Faults in Power Transformers

Energies, 2018
In a smart grid, many transformers are equipped for both power transmission and conversion. Because a stable operation of transformers is essential to maintain grid security, studying the fault diagnosis method of transformers can improve both fault ...
Jing Wu, Kun Li, Jing Sun, Li Xie
doaj   +1 more source

Transformer fault diagnosis based on probabilistic neural networks combined with vibration and noise characteristics

Frontiers in Energy Research, 2023
When the transformer is running, the vibration which is generated in the core and winding will spread outward through the medium of metal, oil, and air.
Xiu Zhou, Yan Luo, Tian Tian, Haonan Bai, Peng Wu, Weifeng Liu   +5 more
doaj   +1 more source

The role of intelligent systems in delivering the smart grid [PDF]

, 2010
The development of "smart" or "intelligent" energy networks has been proposed by both EPRI's IntelliGrid initiative and the European SmartGrids Technology Platform as a key step in meeting our future energy needs.
Catterson, Victoria, Davidson, Euan, Mcarthur, Stephen   +2 more
core   +1 more source

Research on transformer fault diagnosis based on ISOMAP and IChOA‐LSSVM

IET Electric Power Applications, 2023
Oil‐immersed transformers play an important role in the stable operation of power systems. In order to improve the accuracy of transformer fault diagnosis, a transformer fault diagnosis method based on Isomap and IChOA‐LSSVM is proposed.
Wanjie Lu, Chun Shi, Hua Fu, Yaosong Xu
doaj   +1 more source