Oil leakage detection for electric power equipment based on ultraviolet fluorescence effect

2018 ◽  
Author(s):  
Lantao Huang ◽  
Jing Zhang ◽  
Jianhui Wang ◽  
Bin Xu ◽  
Zhidong Huang
Keyword(s):  
Electric Power ◽  
Power Equipment ◽  
Leakage Detection ◽  
Oil Leakage ◽  
Fluorescence Effect

scholarly journals Low Cycle Fatigue Characteristics of Oxygen-Free Copper for Electric Power Equipment

Materials ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4237
Author(s):  
Takuma Tanaka ◽  
Togo Sugioka ◽  
Tatsuya Kobayashi ◽  
Ikuo Shohji ◽  
Yuya Shimada ◽  
...  
Keyword(s):  
Heat Treatment ◽  
Electric Power ◽  
Stress Amplitude ◽  
Low Cycle Fatigue ◽  
Ebsd Analysis ◽  
Fatigue Properties ◽  
Power Equipment ◽  
Cycle Fatigue ◽  
Fracture Surfaces ◽  
Heat Treated

The effect of heat treatment on tensile and low cycle fatigue properties of the oxygen-free copper for electric power equipment was investigated. The heat treatment at 850 °C for 20 min, which corresponds to the vacuum brazing process, caused the grain growth and relaxation of strain by recrystallization, and thus, the residual stress in the oxygen-free copper was reduced. The tensile strength and 0.2% proof stress were decreased, and elongation was increased by the heat treatment accompanying recrystallization. The plastic strain in the heat-treated specimen was increased compared with that in the untreated specimen under the same stress amplitude condition, and thus, the low cycle fatigue life of the oxygen-free copper was degraded by the heat treatment. Striation was observed in the crack initiation area of the fractured surface in the case of the stress amplitude less than 100 MPa regardless of the presence of the heat treatment. With an increase in the stress amplitude, the river pattern and the quasicleavage fracture were mainly observed in the fracture surfaces of the untreated specimens, and they were observed with striations in the fracture surfaces of the heat-treated ones. The result of the electron backscattered diffraction (EBSD) analysis showed that the grain reference orientation deviation (GROD) map was confirmed to be effective to investigate the fatigue damage degree in the grain by low cycle fatigue. In addition, the EBSD analysis revealed that the grains were deformed, and the GROD value reached approximately 28° in the fractured areas of heat-treated specimens after the low cycle fatigue test.

Oil Leakage Detection in Automobile Shock Absorber using Machine Learning Classifiers

2021 ◽  
Author(s):  
Hayeon Park ◽  
Rut Diane Cuebas ◽  
Kyoung-Soo We ◽  
Sung Hoon Kim ◽  
Chang-Gun Lee
Keyword(s):  
Machine Learning ◽  
Shock Absorber ◽  
Leakage Detection ◽  
Machine Learning Classifiers ◽  
Oil Leakage ◽  
Learning Classifiers

scholarly journals Influence of trace H2O and O2 on SF6 decomposition products under arcing conditions in electric power equipment

2019 ◽  
Vol 2019 (16) ◽  
pp. 1774-1777 ◽  
Author(s):  
Ren Yang ◽  
Mengyuan Xu ◽  
Chen Guan ◽  
Jing Yan ◽  
Yingsan Geng
Keyword(s):  
Electric Power ◽  
Power Equipment ◽  
Decomposition Products ◽  
Sf6 Decomposition

Research of Intelligent Substation Condition Monitoring Based on the Neural Network

2013 ◽  
Vol 325-326 ◽  
pp. 692-696
Author(s):  
Da Peng Chai ◽  
Qiang Qiang Xue ◽  
Ling Mei Wang ◽  
Xing Yong Zhao
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Fault Diagnosis ◽  
Electric Power ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Power Equipment ◽  
The Neural Network ◽  
Condition Monitoring System ◽  
Artificial Neural Network Ann

The substation electric power equipment condition monitoring is the basis of intelligent substation. This paper analyzes the composition of the substation electric power equipment condition monitoring system and monitoring parameters, and with the transformer condition monitoring as an example, this paper proposes fault diagnosis methods of electric power equipment using artificial neural network(ANN).

Research on Electric Power Equipment Preventive Maintenance Cycle on the Basis of Economic Life Cycle Costing

2012 ◽  
Vol 605-607 ◽  
pp. 296-299
Author(s):  
Yan Li ◽  
Yu Mei Hu ◽  
Yun Feng Luo ◽  
Chang Chen Liu
Keyword(s):  
Life Cycle ◽  
Electric Power ◽  
Failure Rate ◽  
Preventive Maintenance ◽  
Life Cycle Cost ◽  
Specific Effect ◽  
Economic Life ◽  
Variance Ratio ◽  
Power Equipment ◽  
Economic Life Cycle

The maintenance strategy is a tradeoff between cost and reliability. In this paper we consider the maintenance plan from the view of economic life cycle cost and reliability. We discuss the maintenance interval optimization on the premise that the preventive maintenance mitigates failure rate level and intensifies failure variance ratio meanwhile. The specific effect of this kind of preventive maintenance on failure rate and its variance ratio is explored, and then we construct a life cycle cost model of electric power equipment and propose the annuity of life cycle cost minimization as a method for seeking an optimal maintenance interval solution.

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