Polynomial Modeling of Transformer Hazard Using Artificial Neural Network
Abd Rabou, M., El-Khattam, W., Talaat, H. (2019). Polynomial Modeling of Transformer Hazard Using Artificial Neural Network. EKB Journal Management System, 39(1), 112-120. doi: 10.21608/erjsh.2019.406930
Mohamed Abd Rabou; Walid El-Khattam; Hossam Talaat. "Polynomial Modeling of Transformer Hazard Using Artificial Neural Network". EKB Journal Management System, 39, 1, 2019, 112-120. doi: 10.21608/erjsh.2019.406930
Abd Rabou, M., El-Khattam, W., Talaat, H. (2019). 'Polynomial Modeling of Transformer Hazard Using Artificial Neural Network', EKB Journal Management System, 39(1), pp. 112-120. doi: 10.21608/erjsh.2019.406930
Abd Rabou, M., El-Khattam, W., Talaat, H. Polynomial Modeling of Transformer Hazard Using Artificial Neural Network. EKB Journal Management System, 2019; 39(1): 112-120. doi: 10.21608/erjsh.2019.406930

Polynomial Modeling of Transformer Hazard Using Artificial Neural Network

Engineering Research Journal (Shoubra)
Volume 39, Issue 1, January 2019, Page 112-120  XML PDF (1.28 MB)
Document Type: Research articles
DOI: 10.21608/erjsh.2019.406930
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Authors
Mohamed Abd Rabou1; Walid El-Khattam2; Hossam Talaat3
1Energy Management Head of Quality, SIEMENS, Cairo, Egypt
2Electrical Power and Machines Dep., Faculty of Eng., Ain shams University, Cairo, Egypt
3Electrical Engineering Dept., Faculty of Engineering & technology, Future University in Egypt, Cairo, Egypt
Abstract
The conventional way of forming the hazard lifetime function of transformers applies the best modeling based on the history data using Hazard Plotting Approach (HPA) under different functions: Normal Distribution, Lognormal Distribution, Weibull Distribution and Smallest Extreme Value Distribution. In this paper will propose a new method to develop best modeling using Artificial Neural Network- based polynomial model with minimum error to represent the hazard function for transformer. The procedure of applying the proposed methodology is simple. The quality of the obtained results ensures the adequacy of applying of this methodology for expecting the failure time of the transformer.
Keywords
Polynomial Model; Artificial Neural Network; Transformer Hazard Plotting Approach; Observed Hazard
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