Classifying Short Duration Voltage Disturbances Using Fuzzy Expert System

2006 ◽  
Author(s):  
Ghafour Amouzad Mahdiraji ◽  
Azah Mohamed
Keyword(s):  
Expert System ◽  
Short Duration ◽  
Fuzzy Expert System

A Fuzzy–Expert System For Classification Of Short Duration Voltage Disturbances

2012 ◽  
Author(s):  
Ghafour Amouzad Mahdiraji ◽  
Azah Mohamed
Keyword(s):  
Expert System ◽  
Power Quality ◽  
Short Duration ◽  
Automated Detection ◽  
Voltage Sag ◽  
Fuzzy Expert System ◽  
Correct Classification Rate ◽  
Classification Rate ◽  
Fast Fourier Transform Analysis

Satu aspek penting dalam penilaian kualiti kuasa adalah pengesanan dan pengkelasan gangguan kualiti kuasa secara automatik yang memerlukan penggunaan teknik kepintaran buatan. Kertas kerja ini membentangkan penggunaan sistem pakar-kabur untuk pengkelasan gangguan voltan jangka masa pendek yang termasuk lendut voltan, ampul dan sampukan. Untuk memperolehi sifat unik bagi gangguan voltan, analisis jelmaan Fourier pantas dan teknik purataan punca min kuasa dua digunakan untuk menentukan parameter gangguan seperti tempoh masa, magnitud voltan pmk maksimum dan minimum. Berasaskan pada parameter ini, sebuah sistem pakar–kabur telah dibangunkan dengan mengset aturan kabur yang menimbangkan lima masukan dan tiga keluaran. Sistem ini direka bentuk untuk mengesan dan mengkelaskan tiga jenis gangguan voltan tempoh masa pendek dengan menentukan sama ada gangguan adalah gangguan ketika, gangguan seketika dan bukan gangguan lendut, ampul dan sampukan. Untuk mengesahkan kejituan sistem yang dicadangkan, ia telah diuji dengan gangguan voltan yang diperolehi dari pengawasan. Keputusan ujian menunjukkan bahawa sistem pakar–kabur yang dibangunkan telah memberikan kadar pengkelasan yang betul sebanyak 98.4 %. Kata kunci: Kualiti kuasa, sistem pakar–kabur, lendut, ampul dan sampukan One of the important aspects in power quality assessment is automated detection and classification of power quality disturbances which requires the use of artificial intelligent techniques. This paper presents the application of fuzzy–expert system for classification of short duration voltage disturbances which include voltage sag, swell and interruption. To obtain unique features of the voltage disturbances, fast Fourier transform analysis and root mean square averaging technique are utilized so as to determine the disturbance parameters such as duration, maximum and minimum rms voltage magnitudes. Based on these parameters, a fuzzy-expert system has been developed to set the fuzzy rules incorporating five inputs and three outputs. The system is designed for detecting and classifying the three types of short duration voltage disturbances, so as to determine whether the disturbance is instantaneous, momentary and non sag, swell and interruption. To verify the accuracy of the proposed system, it has been tested with recorded voltage disturbances obtained from monitoring. Tests results showed that the developed fuzzy–expert system gives a correct classification rate of 98.4 %. Key words: Power quality, fuzzy–expert system, sag, swell and interruption.

A FUZZY EXPERT SYSTEM FOR SOLVING REAL-OPTION DECISION PROCESSES

2001 ◽  
Vol 06 (02) ◽  
Author(s):  
C.A Magni ◽  
G. Mastroleo ◽  
G. Facchinetti
Keyword(s):  
Expert System ◽  
Real Option ◽  
Decision Processes ◽  
Fuzzy Expert System

Contribution to the Research and Development of Radiation Chambers in Steam Reforming. Problem-Oriented Application of a Fuzzy Expert System

1992 ◽  
Vol 57 (10) ◽  
pp. 2125-2134 ◽  
Author(s):  
Petr Stehlík ◽  
František Babinec
Keyword(s):  
Carbon Dioxide ◽  
Mathematical Model ◽  
Expert System ◽  
Service Life ◽  
Research And Development ◽  
Steam Reforming ◽  
Methane Conversion ◽  
Chemical Processes ◽  
Fuzzy Expert System ◽  
Present Contribution

An application of a fuzzy expert system intended for estimating some parameters of steam reforming can also be one of the examples of an ever increasing utilization of expert systems in practice. The present contribution deals with the method making use of a verified mathematical model for simulating thermal chemical processes in reforming furnace radiation chamber in order to create knowledge base. This base includes linguistic values of selected independent and dependent variable quantities. Examples given illustrate an evaluation of dependent variable quantities (methane conversion into carbon dioxide and monoxide, reaction tube service life) by means of the said expert system based on queries.

Analysis of emergency response and rescue operation using fuzzy expert system

2021 ◽  
pp. 1-10
Author(s):  
O. A. Omorodion ◽  
J. A. Ikimi ◽  
A. Nwaezeapu ◽  
O. A. Peace ◽  
K. H. Esiri ◽  
...  
Keyword(s):  
Expert System ◽  
Emergency Response ◽  
Fuzzy Expert System ◽  
Rescue Operation

Design Fuzzy Expert System And Certainty Factor In Early Detection Of Stroke Disease

2020 ◽  
Author(s):  
Laurentinus ◽  
Kiswanto ◽  
Rahmat Sulaiman ◽  
Fransiskus Panca Juniawan ◽  
Dwi Yuny Sylfania ◽  
...  
Keyword(s):  
Expert System ◽  
Early Detection ◽  
Fuzzy Expert System ◽  
Certainty Factor

Technique for constructing grey-scale morphological operators using fuzzy expert system

1997 ◽  
Vol 33 (22) ◽  
pp. 1859 ◽  
Author(s):  
H.Y. Kim ◽  
F.A.M. Cipparrone ◽  
M.T.C. Andrade
Keyword(s):  
Expert System ◽  
Fuzzy Expert System ◽  
Morphological Operators ◽  
Grey Scale
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