Non-Stationary Power Quality Signals Classification using Fuzzy C-means Algorithm
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 2
Abstract
This paper presents a new approach for classification of various non-stationary power signal waveforms using modified Gaussian windowing technique. In comparison to the earlier Gaussian window, the modified Gaussian window is found to provide excellent normalized frequency contours of the power signal disturbances suitable for accurate visual localization, detection and classification. Various non-stationary power signals are processed through S-Transform with modified Gaussian window to generate time-frequency contours for extracting optimal feature vectors for automatic pattern classification. The extracted features are clustered using Fuzzy C-means algorithm. From simulation results, it is shown that the proposed Fuzzy C-means algorithm reveal very encouraging results in terms of the quality of solution found, the average no of function evaluations and processing time required. The average classification accuracy of the disturbances is 94.37%
Authors and Affiliations
M. Venkata Subbarao , N. Sayedu Khasim, , Jagadeesh Thati, , M. H. H. Sastry
Keywords
Related Articles
- EP ID EP130931
- DOI -
- Views 71
- Downloads 0
A Tailored Ontology Sculpt For Web Information Congregation
As a sculpt for acquaintance explanation and exemplification, ontologies are extensively used to symbolize consumer profiles in tailored web information congregation. Conversely, when representing consumer profiles...
Energy efficient and Demand based Topology Maintenance for various network traffic conditions
Due to the nodes’ limited resource in the adhoc networks, the scalability is the crucial for network operation. Energy efficient topology in Ad-hoc networks can be achieved mainly in two different ways. In the firs...
QUERY PLANNING FOR CONTINUOUS AGGREGATION QUERIES USING DATA AGGREGATORS
Continuous aggregation queries are used to monitor the changes in data with time varying for online decision making. For contin uous queries low cost and scalable technique s used a network of aggregators. I...
Effect of Feature Reduction in Sentiment analysis of online reviews
Sentiment analysis is the task of identifying whether the opinion expressed in a document is positive or negative about a given topic. In sentiment analysis, feature reduction is a strategy that aims at making classi...
E-commerce and the Rural Sector
In the modern times E-commerce is giving a tough competition to the traditional trade and business. Due to the advancement of technology the world has became a global village. E-commerce has reached most of the...