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Condition Monitoring of Special Purpose Transformer Design for Water Pumping Station Using Artificial Neural Network

	International Journal of Scientific Research and Engineering Development (IJSRED)	Full Text:
	Published Issue : Volume-3 Issue-5
	Year of Publication : 2020
	Unique Identification Number : IJSRED-V3I5P98
	Authors :Shweta Deshmukhh, Swati Veleskar
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Abstract :

This paper, deals with condition, monitoring of special purpose transformer that is installed for water pumping application by artificial intelligent techniques. The power transformers are main back bone of power transmission system and its protection is very necessary over various faulty conditions. The healthy conditions of transformer is basically depends on loading factor, power factor, voltage current and harmonics. Proposed paper provides capability to figure out a condition of transformer forecasting model of model. The for-costing is done through the artificial neural network (ANN). In preposed paper Levenberg-Marquard(LM) and Scaled Conjugate Gradient(SCG) function based backpropogation training algorithms are used and then the choice of the most appropriate training algorithm is made to train the model. The used datasets are based on the past data on various working condition of pumping house. Dataset contains data collected between 1 January 2018 to 31 December 2018, a total of 8760 samples at 1 hr time interval is available for used. Samples are for each of the 5 features; those are Frequency, Harmonics, Voltage, Current, and Temperature. For analysis of algorithms and MATLAB software is used.