Automatic Classification of Transmission Line Faults Using Probabilistic Neural Network and Discrete Wavelet Transform
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
The largest physical length of transmission network is the most critical part of the power system. The fast recognition of faults and events in transmission line has a significant role in order to prevent equipment damage and suddenly collapse of power system. The signal-processing and computational-intelligence based techniques have been proposed in literature for automatic classification of faults and events in transmission network. In this paper, discrete wavelet transform based probabilistic neural network have been proposed for the identification and classification of faults in transmission network. The short circuit faults are created at various fault resistances and fault locations. The wavelet transform is used to extract the features in order to distinguish the type of faults. The probabilistic neural network is used to automatically classify the type of faults. A real-time transmission network is used for simulation of faults. The simulation results show that the proposed algorithm is efficient and reliable for automatic classification of faults in electrical power system.
Authors and Affiliations
Suhail Khokhar, Suhail Mustafa, Adnan Ahmed Arain, Mohsin Ali Tunio
Keywords
Related Articles
- EP ID EP24360
- DOI -
- Views 306
- Downloads 8
Aggregate on Self Compacting Concrete Using M70 Grade
Advancement in concrete technology is reducing the consumption of natural resources and energy resources and lessening the burden of pollutant on environment. In this experimental study the aggregate on Self Compacting...
Review of Home Based Security Mechanism Using Paired Key for Sensor to Cloud Communication
Iot-related health care system are based on the vital description of the iot as a network of devices that connect directly with each other to capture and share important data through a secure service layer as ssl that c...
Detection And Analysis Of Ddos Attacks Using Machine Learning Techniques: A Literature Review
Distributed Denial of Service (DDoS) attacks is a serious threat to the network security. Servers of many companies have been the victims of such novel type of attacks. In a short span of time, these attacks from the mu...
Smart Helmet
Nowadays cases of bike accident can be seen around us. People’s get injured and one of the main reason is not wearing helmet. A helmet is a protective layer that is worn in order to prevent head injury. Many peoples cou...
Analysis of Multiband Patch Antenna Using Coaxial Feed and Microstrip Line Feed
In this paper the analysis of hybrid shape multiband microstrip patch antenna is presented which uses FR-4 substrate and have thickness of 2.4mm. Firstly results are produced using coaxial probe feed. Minkowski Fractal...