JAVEED AHMED KHAN - Academia.edu (original) (raw)
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Papers by JAVEED AHMED KHAN
Sustained energy generation is very important for any region's economic growth either developed o... more Sustained energy generation is very important for any region's economic growth either developed or developing. As the growth of the country depends on sustainable and efficient power generation management, in order to attain the sustainable energy generation, experimentation, and explorations in the latest avenues for these generations have to be carried out. In this paper an attempt is made to report the experimentation carried out at Salalah College of Technology (SCT) in terms of sustainable energy generation using alternate energy resources. Experimentation carried out at SCT for solar harnessing in sustainable transportation and wind energy alternatives for hybrid power generation at decentralized levels is tested. Experimentation results for individual experiments are not disclosed. Whereas the overall efficiency in using such alternate technologies for sustained power generation and comparisons with other likewise locations are reported in this paper.
Electric Power Components and Systems, Jan 1, 2010
Page 1. Electric Power Components and Systems, 38:11111122, 2010 Copyright © Taylor & Fr... more Page 1. Electric Power Components and Systems, 38:11111122, 2010 Copyright © Taylor & Francis Group, LLC ISSN: 1532-5008 print/1532-5016 online DOI: 10.1080/15325001003652892 Cellular Neural Network on Digital Signal ...
In this paper, Object recognition of Partial Discharge (PD) occurring in High Voltage (HV) insula... more In this paper, Object recognition of Partial Discharge (PD) occurring in High Voltage (HV) insulation system of 6.6kV, 1.5 MVA stator coils for different fault and fault conditions are analyzed using a technique of object defining using the matrix representation form and analyzing using the matrix represented Neural Networks (NN) i.e., Cellular Neural Networks (CNN) realized on a Digital Signal Processor (DSP) and data collected using PD Detector Biddle series 27000 along with Lemke's software in numerical and pictorial form is used to compare the condition of the insulation system. Comparisons of the trained CNN output in numerical and pictorial comparison are presented in results with tabulated numerical results and error graphs.
Sustained energy generation is very important for any region's economic growth either developed o... more Sustained energy generation is very important for any region's economic growth either developed or developing. As the growth of the country depends on sustainable and efficient power generation management, in order to attain the sustainable energy generation, experimentation, and explorations in the latest avenues for these generations have to be carried out. In this paper an attempt is made to report the experimentation carried out at Salalah College of Technology (SCT) in terms of sustainable energy generation using alternate energy resources. Experimentation carried out at SCT for solar harnessing in sustainable transportation and wind energy alternatives for hybrid power generation at decentralized levels is tested. Experimentation results for individual experiments are not disclosed. Whereas the overall efficiency in using such alternate technologies for sustained power generation and comparisons with other likewise locations are reported in this paper.
Electric Power Components and Systems, Jan 1, 2010
Page 1. Electric Power Components and Systems, 38:11111122, 2010 Copyright © Taylor & Fr... more Page 1. Electric Power Components and Systems, 38:11111122, 2010 Copyright © Taylor & Francis Group, LLC ISSN: 1532-5008 print/1532-5016 online DOI: 10.1080/15325001003652892 Cellular Neural Network on Digital Signal ...
In this paper, Object recognition of Partial Discharge (PD) occurring in High Voltage (HV) insula... more In this paper, Object recognition of Partial Discharge (PD) occurring in High Voltage (HV) insulation system of 6.6kV, 1.5 MVA stator coils for different fault and fault conditions are analyzed using a technique of object defining using the matrix representation form and analyzing using the matrix represented Neural Networks (NN) i.e., Cellular Neural Networks (CNN) realized on a Digital Signal Processor (DSP) and data collected using PD Detector Biddle series 27000 along with Lemke's software in numerical and pictorial form is used to compare the condition of the insulation system. Comparisons of the trained CNN output in numerical and pictorial comparison are presented in results with tabulated numerical results and error graphs.