scholarly journals Research On Arc Fault Detection Using Morlet Wavelet Features And ResNet

Author(s):  
Shuai Zhang ◽  
Na Qu ◽  
Tianfang Zheng ◽  
Congqiang Hu

Abstract Series arc fault is the main cause of electrical fire in low-voltage distribution system. A fast and accurate detection system can reduce the risk of fire effectively. In this paper, series arc experiment is carried out for different kinds of electrical load. The time-domain current is analyzed by Morlet wavelet. Then, the multiscale wavelet coefficients are expressed as the coefficient matrix. We use HSV color index to map the coefficient matrix to the phase space image. Random gamma transform and random rotation are applied to data enhancement. Finally, typical deep residual network (ResNet) is established for image recognition. Training results show that this method can detect faults in real time. The accuracy of ResNet50 is 96.53% by using the data set in this paper.

2021 ◽  
Author(s):  
Maman Ahmad Khan ◽  
Barry Hayes

<div>This letter presents a reduced, electrically equivalent model of the IEEE European Low Voltage Test Feeder for use in distribution network studies. The original test feeder is made up of 906 buses, of which only 55 have loads connected. This work proposes an equivalent 116 bus network which accurately represents all of the characteristics of the original test feeder, but significantly reduces the computational effort required when applied in a range of distribution system applications. The model reduction technique applied is explained in detail, and the performance of the modified network is tested under a wide range of network loading conditions. The analysis in this letter demonstrates that the modified 116 bus network produces identical results with 80% less computation time when compared to the original 906 bus network. The full data set for the modified network is provided on IEEE Dataport. Available: https://dx.doi.org/10.21227/0d2n-j565.</div>


Facial Expression conveys nonverbal communication, which plays an important role in acquaintance among people. The facial expression detection system is an activity to identify the emotional state of the person. In this system, a captured frame is compared with trained data set that is available in the database and then state of the captured frame is defined. This system is based on Image Processing and Machine Learning. For designing a robust facial feature descriptor, we apply the Xception Modelling algorithm. The detection performance of the proposed method will be evaluated by loading the dataset and pre-processing the images for feeding it to CNN model. Experimental results with prototypic expressions show the superiority of the Xception-Model descriptor against some well-known appearance-based feature representation methods. Experimental results demonstrate the competitive classification accuracy for our proposed method.


Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6646
Author(s):  
Yong-Jung Kim ◽  
Hyo-Sung Kim

Recently, as DC power generation and DC loads such as renewable energy and EVs increase, the need for a low-voltage direct current (LVDC) distribution system has gradually emerged. The DC system has various advantages, such as system stability, transmission efficiency, and connectivity to renewable power generation compared to AC distribution systems. One of the important technical issues for commercialization of DC distribution system is safety. Since the DC system does not have a current zero point, unlike the AC system, a breaking arc accompanied by a high-temperature plasma is easily generated when the circuit is cut off. The arc can cause fire accidents that threaten people and facilities. In order to prevent customers and facilities from the accidents caused by the arc in the DC system, a study on the characteristics of the DC breaking arc is necessary. An important factor of characteristics for the DC breaking arc fault is an arc extinction distance at which the DC breaking arc is completely extinguished. There are two major behaviors in DC breaking arc; one is active behavior where the arc voltage is inversely related with the arc current for a given gap distance, the other is passive behavior where the arc voltage is negatively proportional to the arc current according to Kirchhoff's voltage rule. This paper combines the two arc characteristics together to establish a DC breaking arc model, and proposes a method to estimate the arc extinction distance. Experiment results verify the method under various power and load conditions.


2021 ◽  
Author(s):  
Maman Ahmad Khan ◽  
Barry Hayes

<div>This letter presents a reduced, electrically equivalent model of the IEEE European Low Voltage Test Feeder for use in distribution network studies. The original test feeder is made up of 906 buses, of which only 55 have loads connected. This work proposes an equivalent 116 bus network which accurately represents all of the characteristics of the original test feeder, but significantly reduces the computational effort required when applied in a range of distribution system applications. The model reduction technique applied is explained in detail, and the performance of the modified network is tested under a wide range of network loading conditions. The analysis in this letter demonstrates that the modified 116 bus network produces identical results with 80% less computation time when compared to the original 906 bus network. The full data set for the modified network is provided on IEEE Dataport. Available: https://dx.doi.org/10.21227/0d2n-j565.</div>


Author(s):  
Huang Min ◽  
P.S. Flora ◽  
C.J. Harland ◽  
J.A. Venables

A cylindrical mirror analyser (CMA) has been built with a parallel recording detection system. It is being used for angular resolved electron spectroscopy (ARES) within a SEM. The CMA has been optimised for imaging applications; the inner cylinder contains a magnetically focused and scanned, 30kV, SEM electron-optical column. The CMA has a large inner radius (50.8mm) and a large collection solid angle (Ω > 1sterad). An energy resolution (ΔE/E) of 1-2% has been achieved. The design and performance of the combination SEM/CMA instrument has been described previously and the CMA and detector system has been used for low voltage electron spectroscopy. Here we discuss the use of the CMA for ARES and present some preliminary results.The CMA has been designed for an axis-to-ring focus and uses an annular type detector. This detector consists of a channel-plate/YAG/mirror assembly which is optically coupled to either a photomultiplier for spectroscopy or a TV camera for parallel detection.


2013 ◽  
Vol 133 (4) ◽  
pp. 343-349
Author(s):  
Shunsuke Kawano ◽  
Yasuhiro Hayashi ◽  
Nobuhiko Itaya ◽  
Tomihiro Takano ◽  
Tetsufumi Ono

2011 ◽  
Vol 131 (4) ◽  
pp. 362-368 ◽  
Author(s):  
Yasunobu Yokomizu ◽  
Doaa Mokhtar Yehia ◽  
Daisuke Iioka ◽  
Toshiro Matsumura

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