Discharges Classification using Genetic Algorithms and Feature Selection Algorithms on Time and Frequency Domain Data Extracted from Leakage Current Measurements
Journal Title: Engineering, Technology & Applied Science Research - Year 2013, Vol 3, Issue 6
Abstract
A number of 387 discharge portraying waveforms recorded on 18 different 150 kV post insulators installed at two different Substations in Crete, Greece are considered in this paper. Twenty different features are extracted from each waveform and two feature selection algorithms (t-test and mRMR) are employed. Genetic algorithms are used to classify waveforms in two different classes related to the portrayed discharges. Five different data sets are employed (1. the original feature vector, 2. time domain features, 3. frequency domain features, 4. t-test selected features 5. mRMR selected features). Results are discussed and compared with previous classification implementations on this particular data group.
Authors and Affiliations
D. Pylarinos, K. Theofilatos, K. Siderakis, E. Thalassinakis
Keywords
Related Articles
- EP ID EP89584
- DOI -
- Views 320
- Downloads 0
A Novel Approach for Arabic Text Steganography Based on the “BloodGroup” Text Hiding Method
Steganography is the science of hiding certain messages (data) in groups of irrelevant data possibly of other form. The purpose of steganography is covert communication to hide the existence of a message from an intermed...
An Appraisal of Asia-Pacific Cities as Control and Command Centres Embedded in World City Network
Since the globalization trend is proliferating at a staggering rate, world cities have emerged as the most dominant vanguard incorporated into global economy. Control and command function is one of the robust integral pa...
A Novel Structure for Vector Control of Symmetrical Six-Phase Induction Machines with Three Current Sensors
Vector control is one of the most popular multiphase induction machine drive methods due to its dynamic performance. Since all phase currents are needed in vector control drive, by increasing phase numbers, the number of...
A Low Cost Automated Weather Station for Real Time Local Measurements
In this paper, we present an automated weather station for real time and local measurements, based on an embedded system that continuously measures several weather factors such as temperature, humidity, barometric pressu...
An Outlook of Ozone Air Pollution through Comparative Analysis of Artificial Neural Network, Regression, and Sensitivity ModelsAn Outlook of Ozone Air Pollution Through Comparative Analysis of Artificial Neural Network, Regression, and Sensitivity Models
Air pollution and atmospheric ozone can cause damages to human health and to the environment. This study explores the potential approach of the artificial neural network (ANN) model and compares it with a regression mode...