scholarly journals Based on the combination prediction method for the characteristic parameters prediction of power transmission and transformation equipment

2022 ◽  
Vol 8 ◽  
pp. 589-595
Author(s):  
Jiafeng Qin ◽  
Chao Zhou ◽  
Ying Lin ◽  
Demeng Bai ◽  
Wenjie Zheng
Keyword(s):  
Power Transmission ◽  
Prediction Method ◽  
Characteristic Parameters

scholarly journals Research on Substation Project Prediction Method in Power Transmission and Transformation by Improved Neural Network Intelligent Model

2021 ◽  
Vol 1952 (3) ◽  
pp. 032052
Author(s):  
Li Ma ◽  
Lanfei He ◽  
Xuefei Zhang ◽  
Wei Wang ◽  
Liping Sun ◽  
...  
Keyword(s):  
Neural Network ◽  
Power Transmission ◽  
Prediction Method ◽  
Intelligent Model

A Method for Substation Equipment Temperatue Prediction

2014 ◽  
Vol 631-632 ◽  
pp. 580-584
Author(s):  
Qian Zhao ◽  
Yong Qian Li ◽  
Tian Li
Keyword(s):  
Time Series ◽  
Bp Neural Network ◽  
Power Transmission ◽  
Prediction Method ◽  
Power Transmission Line ◽  
Equipment Failure ◽  
Safety Hazard ◽  
Potential Safety ◽  
Temperature Forecasting ◽  
Substation Equipment

The temperature change of the power transmission line and substation equipment can reflect their potential safety hazard caused by their aging and overload. Based on the nonlinear analysis of forecasting substation equipment temperature data can realize effectively early warning of equipment failure and avoid huge losses caused by the accident. This paper puts forward a method for temperature forecasting, based on the chaotic time series and BP neural network. It collects data from wireless temperature sensors to establish a time series of substation equipments’ temperature. Software simulation results showed that the prediction method has higher prediction accuracy than that of the traditional method.

Field Studies on the Prediction Method of Induced AC Level on Buried Pipelines Using Magnetic Field Sensors

2008 ◽  
Author(s):  
Yuji Hosokawa ◽  
Ryuji Koga ◽  
Akihiro Ametani
Keyword(s):  
Magnetic Field ◽  
Magnetic Flux ◽  
Flux Density ◽  
Transmission Lines ◽  
Power Transmission ◽  
Prediction Method ◽  
Magnetic Flux Density ◽  
Power Transmission Lines ◽  
Metallic Structures ◽  
Magnetic Field Sensors

There is a risk of alternating current (AC) corrosion on pipelines that are buried in proximity to overhead AC power transmission lines due to induced AC caused by magnetic fields around the power transmission lines. Grounding of the line pipes is generally applied for the mitigation of induced AC. In the present paper, studies were conducted to predict the induced AC level through the measurement of magnetic flux density using magnetic field sensors. The relationship between magnetic flux density and induced AC level was then obtained through theoretical studies. In addition, as a result of field tests conducted on an existing pipeline buried in proximity to power transmission lines, induced AC level could be predicted through the measurement of magnetic flux density using magnetic field sensors above the pipeline route. Magnetic flux density can be measured regardless of the number and location of power transmission lines as well as other metallic structures, and therefore it is expected that the AC prediction method using magnetic field sensors can be applied on the pipelines buried in proximity to multiple power transmission lines and/or to other metallic structures with complicated configuration.

Study on The Prediction Method of Characteristic Parameters of Solar X-ray Flares

2013 ◽  
Vol 37 (3) ◽  
pp. 255-265 ◽  
Author(s):  
Guo Ce ◽  
Xue Bing-sen ◽  
Lin Zhao-xiang
Keyword(s):  
Prediction Method ◽  
Characteristic Parameters ◽  
X Ray

scholarly journals Variation and Prediction Methods of the Explosion Characteristic Parameters of Coal Dust/Gas Mixtures

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 264
Author(s):  
Yingquan Qi ◽  
Xiangyang Gan ◽  
Zhong Li ◽  
Lu Li ◽  
Yan Wang ◽  
...  
Keyword(s):  
Coal Dust ◽  
Dust Cloud ◽  
Prediction Method ◽  
Gas Mixtures ◽  
Gas Mixture ◽  
Characteristic Parameters ◽  
Explosion Pressure ◽  
Maximum Explosion Pressure ◽  
Spherical Explosion ◽  
Explosion Limit

In order to investigate the change law of the explosion characteristic parameters of hybrid mixture of coal dust and gas, and then establish an effective prediction method of these parameters, the maximum explosion pressure, explosion index, and lower explosion limit of coal dust and gas mixtures were measured in a standard 20 L spherical explosion system. Four different kinds of hybrid mixture were selected in this study and they are composed of coal dust with different components and gas respectively. According to the measured results, the change law of the explosion characteristic parameters of hybrid mixture of coal dust and gas was analyzed, and the prediction method of these parameters was discussed. The results show that the addition of gas to a coal dust cloud can obviously increase its maximum explosion pressure and explosion index and notably reduce its minimum explosion concentration. On increasing the gas equivalent ratio, the maximum explosion pressure of coal dust and gas mixture increases linearly and the explosion index increases quadratically, while the decrease curve of the lower explosion limit is nonlinear. Based on these change laws, the methods for predicting the maximum explosion pressure and the explosion index of hybrid mixture of coal dust and gas were established respectively. The applicability of the existing methods for predicting the lower explosion limit of hybrid mixture to coal dust and gas mixture was demonstrated.

2948 Prediction Method of Performance for a Frictional Power Transmission Belt

2007 ◽  
Vol 2007.4 (0) ◽  
pp. 81-82
Author(s):  
Kiyoshi OKURA ◽  
Yasuhiro HASHIMOTO
Keyword(s):  
Power Transmission ◽  
Prediction Method

Magnetoacoustic fusion life prediction method for retired components based on D-S evidence theory

2021 ◽  
Vol 63 (8) ◽  
pp. 488-495
Author(s):  
Y T Gao ◽  
Z M Hu ◽  
J C Leng
Keyword(s):  
Probability Distribution ◽  
Life Prediction ◽  
Back Propagation ◽  
Evidence Theory ◽  
Prediction Method ◽  
Magnetic Memory ◽  
Characteristic Parameters ◽  
Fusion Algorithm ◽  
Weighted Fusion ◽  
Basic Probability

Prediction of the remaining life of remanufacturing blanks is crucial to evaluate their remanufacturability. To overcome the deficiency of obtaining insufficient fatigue damage characteristic information using a single non-destructive testing method, a new magnetoacoustic fusion life prediction method based on Dempster-Shafer (D-S) evidence theory optimised by a weighted fusion algorithm is proposed. The characteristic parameters of metal magnetic memory (MMM) and acoustic emission (AE) signals are first extracted on the basis of a fatigue experiment and data layer fusion is carried out to establish the mapping relationship between MMM and AE characteristic parameters and specimen life based on a back-propagation (BP) neural network. The basic probability distribution of the life is assigned in a fuzzy manner according to the normal distribution and the reliability function of each life interval is obtained by data fusion based on D-S evidence theory. Furthermore, the basic probability distribution value is modified based on a weighted fusion algorithm and the corrected data are fused to obtain a more accurate life prediction result.

Siphon Flows in Stratified Coronal Loops

1994 ◽  
Vol 144 ◽  
pp. 185-187
Author(s):  
S. Orlando ◽  
G. Peres ◽  
S. Serio
Keyword(s):  
Heat Flux ◽  
Scaling Laws ◽  
Flow Model ◽  
Supersonic Flows ◽  
Coronal Loops ◽  
Characteristic Parameters

AbstractWe have developed a detailed siphon flow model for coronal loops. We find scaling laws relating the characteristic parameters of the loop, explore systematically the space of solutions and show that supersonic flows are impossible for realistic values of heat flux at the base of the upflowing leg.

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