Cost Control Model of Power Grid Maintenance using Fuzzy Pattern Recognition Theory

M. Bhargavi*, S. Vijayalakshmi**
*-** Assistant Professor, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, India.
Periodicity:March - May'2016
DOI : https://doi.org/10.26634/jpr.3.1.8104

Abstract

In power enterprises, the construction process is complicated using lines and equipment maintenance, the cost is affected by meteorological and geographical factors, which influence mode in uncertain. In this paper, the authors use a predictive control model to control the project cost using fuzzy clustering method and the threshold intervals of the objective function in clusters. This model uses relative fuzzy operator to build fuzzy matrix, construct correlation between factors, and describe the factors' effect. Extract the cluster's Eigen function, define the boundaries of various clusters, and determine the type of the predicted points and the range of the objective function. When the actual cost of the maintenance project is within the range calculated by the cost model, then it is normal. If the actual cost exceeds this range, then further analysis of all the aspects of the cost is needed to find out the reason.

Keywords

Cost Management, Predictive Control, Fuzzy Clustering, Control Interval

How to Cite this Article?

Bhargavi, M., and Vijayalakshmi, S. (2016). Cost Control Model of Power Grid Maintenance using Fuzzy Pattern Recognition Theory. i-manager’s Journal on Pattern Recognition, 3(1), 16-22. https://doi.org/10.26634/jpr.3.1.8104

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