scholarly journals Research on Weak Fault Detection Algorithm Chaotic Neural Network

2016 ◽  
Vol 10 (7) ◽  
pp. 239-248
Author(s):  
Zhu Yuan Zhong
Keyword(s):  
Neural Network ◽  
Fault Detection ◽  
Detection Algorithm ◽  
Chaotic Neural Network ◽  
Weak Fault

scholarly journals Fault Detection of the Power System Based on the Chaotic Neural Network and Wavelet Transform

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Zuoxun Wang ◽  
Liqiang Xu
Keyword(s):  
Neural Network ◽  
Wavelet Transform ◽  
Fault Detection ◽  
Power System ◽  
Fault Location ◽  
Detection Algorithm ◽  
Travelling Wave ◽  
Discrete Wavelet ◽  
Chaotic Neural Network ◽  
Transition Resistance

The safety and stability of the power supply system are affected by some faults that often occur in power system. To solve this problem, a criterion algorithm based on the chaotic neural network (CNN) and a fault detection algorithm based on discrete wavelet transform (DWT) are proposed in this paper. MATLAB/Simulink is used to establish the system model to output fault signals and travelling wave signals. Db4 wavelet decomposes the travelling wave signals into detail signals and approximate signals, and these signals are combined with the two-terminal travelling wave location method to achieve fault location. And the wavelet detail coefficients are extracted to input to the proposed chaotic neural network. The results show that the criterion algorithm can effectively determine whether there are faults in the power system, the fault detection algorithm has the capabilities of locating the system faults accurately, and both algorithms are not affected by fault type, fault location, fault initial angle, and transition resistance.

scholarly journals Artificial neural network based photovoltaic fault detection algorithm integrating two bi-directional input parameters

2020 ◽  
Vol 155 ◽  
pp. 1272-1292 ◽  
Author(s):  
Muhammed Hussain ◽  
Mahmoud Dhimish ◽  
Sofya Titarenko ◽  
Peter Mather
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Fault Detection ◽  
Detection Algorithm ◽  
Input Parameters ◽  
Artificial Neural

FAULT DETECTION ALGORITHM FOR TEMPERATURE SENSORS OF HOUSEHOLD REFRIGERATORS

2017 ◽  
Author(s):  
Everton Machado ◽  
Alexsandro Santos Silveira ◽  
Alexandre Trofino ◽  
claudio melo
Keyword(s):  
Fault Detection ◽  
Detection Algorithm ◽  
Temperature Sensors
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