scholarly journals Fault Diagnosis in Power Distribution Network Using Adaptive Neuro-Fuzzy Inference System (ANFIS)

10.5772/37037 ◽  
2012 ◽  
Author(s):  
Rasli ◽  
Hussain ◽  
Fauzi
Keyword(s):  
Fault Diagnosis ◽  
Power Distribution ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Distribution Network ◽  
Power Distribution Network ◽  
Inference System ◽  
Neuro Fuzzy

scholarly journals Effective Electricity Theft Detection in Power Distribution Grids Using an Adaptive Neuro Fuzzy Inference System

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3110
Author(s):  
Konstantinos V. Blazakis ◽  
Theodoros N. Kapetanakis ◽  
George S. Stavrakakis
Keyword(s):  
Artificial Intelligence ◽  
Electric Power ◽  
Power Distribution ◽  
Fuzzy Inference System ◽  
Distribution System ◽  
Fuzzy Inference ◽  
Electrical Power ◽  
Electrical Power System ◽  
Inference System ◽  
Neuro Fuzzy

Electric power grids are a crucial infrastructure for the proper operation of any country and must be preserved from various threats. Detection of illegal electricity power consumption is a crucial issue for distribution system operators (DSOs). Minimizing non-technical losses is a challenging task for the smooth operation of electrical power system in order to increase electricity provider’s and nation’s revenue and to enhance the reliability of electrical power grid. The widespread popularity of smart meters enables a large volume of electricity consumption data to be collected and new artificial intelligence technologies could be applied to take advantage of these data to solve the problem of power theft more efficiently. In this study, a robust artificial intelligence algorithm adaptive neuro fuzzy inference system (ANFIS)—with many applications in many various areas—is presented in brief and applied to achieve more effective detection of electric power theft. To the best of our knowledge, there are no studies yet that involve the application of ANFIS for the detection of power theft. The proposed technique is shown that if applied properly it could achieve very high success rates in various cases of fraudulent activities originating from unauthorized energy usage.

Fault diagnosis and classification of water pump using adaptive neuro-fuzzy inference system based on vibration signals

2015 ◽  
Vol 14 (5) ◽  
pp. 402-410 ◽  
Author(s):  
Ashkan Moosavian ◽  
Meghdad Khazaee ◽  
Hojat Ahmadi ◽  
Majid Khazaee ◽  
Gholamhassan Najafi
Keyword(s):  
Fault Diagnosis ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Water Pump ◽  
Inference System ◽  
Vibration Signals ◽  
Neuro Fuzzy ◽  
Diagnosis And Classification
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