scholarly journals Research on Transmission Line Icing Tower Broken Fault Probability Calculation Model

2021 ◽  
Vol 696 (1) ◽  
pp. 012036
Author(s):  
Jun Guo ◽  
Zhou Jian ◽  
Tao Feng ◽  
Zelin Cai ◽  
Xunjian Xu
Keyword(s):  
Transmission Line ◽  
Calculation Model ◽  
Fault Probability ◽  
Probability Calculation

Fault Probability Model for Calculating Limiting Capacity of Transmission Line

2017 ◽  
Author(s):  
Yong Xu ◽  
Min-fang Peng ◽  
Guang-ming Li ◽  
Liang Zhu ◽  
Hong-wei Che ◽  
...  
Keyword(s):  
Transmission Line ◽  
Probability Model ◽  
Fault Probability

scholarly journals Research on the Influence of Haze Weather on Audible Noise of HVDC Transmission Line

2021 ◽  
Vol 2137 (1) ◽  
pp. 012002
Author(s):  
Qingxia Zhang ◽  
Fengxin Wang ◽  
Jizhong Fang ◽  
Yang Wu ◽  
Yong Qian
Keyword(s):  
Flow Field ◽  
Transmission Line ◽  
Potential Gradient ◽  
Calculation Model ◽  
Ion Flow ◽  
Hvdc Transmission ◽  
Conductor Surface ◽  
The Relationship

Abstract In order to study the influence of haze weather on audible noise of HVDC transmission line, a calculation model of ion flow field of HVDC transmission line considering the influence of haze is established, and then the relationship between different haze levels, different haze particle concentrations and audible noise is analyzed by taking the maximum potential gradient on the conductor surface as the intermediary. Then a ± 800kV DC transmission line is simulated and the results show that the audible noise will be more prominent with the increase of haze concentration, and the increment is more obvious at higher haze concentration; The charging of haze particles is the principal origin for the increase of audible noise, and the effect of PM2.5 is the most significant.

Study on damage effect of behind-armor debris on internal parts in tanks based on the experiments

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Z.G. Liang ◽  
J.L. Chen ◽  
Z.W. Zhang ◽  
S.C. Zhao ◽  
S.S. Wang
Keyword(s):  
Density Distribution ◽  
Design Methodology ◽  
Calculation Model ◽  
Damage Effect ◽  
Damage Evaluation ◽  
Target Structure ◽  
Content Type ◽  
Experimental Scheme ◽  
Damage Probability ◽  
Probability Calculation

PurposeIn order to explore the damaging effect of behind-armor debris of explosively formed projectile (EFP) attack on the top armor of tank and the internal parts of vehicles, a method of damage probability calculation based on experiments is proposed.Design/methodology/approachThe equivalent target structure of rear-effect damage of the equipment and personnel in the vehicle is determined based on the analysis of the vulnerability of internal equipment and personnel in the tank. The experimental scheme to obtain the density distribution of behind-armor debris is designed, and the calculation model of the damage probability of cavitating antipersonnel debris to the key components of the vehicle is given in the range of scattering angles and different broken pieces.FindingsThe examples show that the damage probability calculation model can be used in the process of evaluating the damage of the equipment and personnel in the tank by behind-armor debris.Originality/valueAn experimental model based on the analysis of the vulnerability of the equipment and personnel is proposed to calculate the damage probability from debris falling on the equipment and personnel in the vehicle. The results are of great value to the calculation of damage evaluation of the equipment and personnel in the tank.

Multi-Factor and Polymorphism Failure Probability Calculation for Natural Gas Pipelines

2013 ◽  
Vol 401-403 ◽  
pp. 2170-2174 ◽  
Author(s):  
Ya Ping Yang ◽  
Yong Mei Hao ◽  
Zhi Xiang Xing
Keyword(s):  
Natural Gas ◽  
Bayesian Network ◽  
Calculation Model ◽  
Gas Pipelines ◽  
Single Factor ◽  
Natural Gas Pipelines ◽  
Natural Gas Pipeline ◽  
Quantitative Calculation ◽  
Failure State ◽  
Probability Calculation

A Bayesian network quantitative calculation model for urban natural gas pipelines was established by using the unique logic of a Bayesian network in handling complicated risk systems. By using a natural gas pipeline as an example, failure situations such as single factor polymorphism, double factor polymorphism, and multi-factor polymorphism of a pipeline were quantitatively calculated to obtain the probability of top events and the structural importance of basic factors. The proposed method not only reflects clearly the effects of different factors but also predicts the failure state of urban natural gas pipelines comprehensively and accurately. The results of the proposed method can serve as a significant reference for the risk management and fault processing of city natural gas pipelines.

The Calculation of Line Fault Probability in Ice Storm

2013 ◽  
Vol 441 ◽  
pp. 300-303
Author(s):  
Wei Ming Feng ◽  
Su Quan Zhou ◽  
Tai Shan Xu ◽  
Qiang Liu ◽  
Ji Lai Yu
Keyword(s):  
Transmission Lines ◽  
Meteorological Data ◽  
Exponential Model ◽  
Wind Load ◽  
Combined Effects ◽  
Ice Storm ◽  
Fault Probability ◽  
Grid Security ◽  
Security Control ◽  
Probability Calculation

In this paper a line fault probability calculation method by the combined effects of icing and wind is developed. Considering the force effect of icing and wind on the transmission lines, an icing-wind load is presented. It can be used to calculated the real-time or predict line fault probability using the characteristic exponential model reflecting metal resisting capacity. The example using historical meteorological data and simulating grid is given and the results show that, icing-wind load presented in this paper makes the calculate result of failure probability more serious. The line fault probability is helpful for the further grid security control.

Research on Detection of Transmission Line Porcelain Insulator Based on Infrared Technology

2014 ◽  
Vol 1046 ◽  
pp. 200-204
Author(s):  
Jie Tong ◽  
Zhi Gen Xiao ◽  
Qiang Gao ◽  
Yang Wang
Keyword(s):  
Transmission Line ◽  
Infrared Imaging ◽  
Electrical Equipment ◽  
Calculation Model ◽  
Porcelain Insulator ◽  
Detection Technology ◽  
Infrared Technology ◽  
Porcelain Insulators ◽  
Detection And Diagnosis ◽  
Imaging Sensor

With the continuous development of infrared technology, infrared-based detection and diagnosis technology has become a new modern power equipment detection technology. Based on infrared technology, this paper proposed detection and diagnosis method of the transmission line porcelain insulators, including analysis on detection theory of IR imaging sensor, and infrared imaging map introduction. Through establishing porcelain insulator circuit calculation model, computing heating power of trouble insulators, this paper minutely analyzed the heating causes of trouble insulators. The paper provided a reference to the detection of transmission line porcelain insulators, which made it an important measure to ensure the safety and economic operation of electrical equipment.

Sign in / Sign up

Export Citation Format

Share Document