Fault Classification of Power Transmission Lines Using Fuzzy Reasoning Spiking Neural P Systems

2016 ◽  
pp. 109-117
Author(s):  
Kang Huang ◽  
Gexiang Zhang ◽  
Xiaoguang Wei ◽  
Haina Rong ◽  
Yangyang He ◽  
...  
Keyword(s):  
Transmission Lines ◽  
Power Transmission ◽  
Fuzzy Reasoning ◽  
P Systems ◽  
Fault Classification ◽  
Power Transmission Lines ◽  
Spiking Neural P Systems

scholarly journals A novel wavelet packet transform based fault identification procedures in HV transmission line based on current signals

2019 ◽  
Vol 8 (1) ◽  
pp. 11
Author(s):  
Ahmed R. Adly ◽  
Ragab El Sehiemy ◽  
Mahmoud A. Elsadd ◽  
Almoataz Y. Abdelaziz
Keyword(s):  
Transmission Lines ◽  
Power Transmission ◽  
Wavelet Packet ◽  
Wavelet Packet Transform ◽  
Fault Classification ◽  
Fault Identification ◽  
Identification Algorithm ◽  
Power Transmission Lines ◽  
Load Variations ◽  
System Configurations

<p>This paper presents an adaptive fault identification algorithm bases on wavelet packet transform (WPT) for two-terminal power transmission lines. The proposed scheme performs four functions which are the fault detection, fault classification, distinguishing among the temporary and the permanent faults, and detection of the arc extinguish instant. The presented algorithm only uses the measured current at one terminal reducing the required cost. Also, it can mitigate the error resulting from the load variations via updating the presetting value. Consequently, it does not need retesting under changing the transmission system configurations. The proposed scheme is deduced in the spectral domain and depended on the application of the WPT. The db6 wavelet packet is used for decomposing the faulty phase current waveform (level 7) to get the energy coefficients. The presented algorithm is assessed under various fault conditions such as fault distances, inception angles, and faults nature via simulating different secondary arc models via using ATP/EMTP. The obtained results are investigated and evaluated.</p>

scholarly journals Classification of Power Facility Point Clouds from Unmanned Aerial Vehicles Based on Adaboost and Topological Constraints

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4717 ◽  
Author(s):  
Yuxuan Liu ◽  
Mitko Aleksandrov ◽  
Sisi Zlatanova ◽  
Junjun Zhang ◽  
Fan Mo ◽  
...  
Keyword(s):  
Transmission Lines ◽  
Point Cloud ◽  
Power Transmission ◽  
Machine Learning Algorithms ◽  
Power Transmission Lines ◽  
Topological Constraints ◽  
Adaboost Algorithm ◽  
Cloud Classification ◽  
Point Cloud Classification

Machine learning algorithms can be well suited to LiDAR point cloud classification, but when they are applied to the point cloud classification of power facilities, many problems such as a large number of computational features and low computational efficiency can be encountered. To solve these problems, this paper proposes the use of the Adaboost algorithm and different topological constraints. For different objects, the top five features with the best discrimination are selected and combined into a strong classifier by the Adaboost algorithm, where coarse classification is performed. For power transmission lines, the optimum scales are selected automatically, and the coarse classification results are refined. For power towers, it is difficult to distinguish the tower from vegetation points by only using spatial features due to the similarity of their proposed key features. Therefore, the topological relationship between the power line and power tower is introduced to distinguish the power tower from vegetation points. The experimental results show that the classification of power transmission lines and power towers by our method can achieve the accuracy of manual classification results and even be more efficient.

scholarly journals Classification of Faults in Power Transmission Lines using Fuzzy-Logic Technique

2015 ◽  
Vol 8 (30) ◽  
Author(s):  
Avagaddi Prasad ◽  
J. Belwin Edwar ◽  
C. Shashank Roy ◽  
G. Divyansh ◽  
Abhay Kumar
Keyword(s):  
Fuzzy Logic ◽  
Transmission Lines ◽  
Power Transmission ◽  
Power Transmission Lines ◽  
Fuzzy Logic Technique
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