Subhransu Ranjan Samantaray spends much of his time researching Control theory, Decision tree, Artificial intelligence, Wavelet transform and Artificial neural network. His research integrates issues of Phasor, Relay, Electronic engineering and Voltage in his study of Control theory. His work in Electronic engineering addresses subjects such as Electric power system, which are connected to disciplines such as Symmetrical components.
His Decision tree research includes elements of Fuzzy set, Fuzzy rule and Fuzzy logic. In his work, Transmission line, Support vector machine, Kernel method and Static VAR compensator is strongly intertwined with Power-system protection, which is a subfield of Wavelet transform. His Artificial neural network study incorporates themes from Fault, Algorithm and Signal processing.
His primary scientific interests are in Electronic engineering, Fault, Control theory, Phasor and Electric power transmission. His biological study spans a wide range of topics, including Power, Relay, Electric power system, Transmission system and S transform. He has included themes like Electrical impedance, Algorithm, Artificial neural network and Wavelet transform in his Fault study.
His Control theory research is multidisciplinary, relying on both Decision tree and High impedance, Voltage. His study in the field of Phasor measurement unit also crosses realms of Units of measurement. His study in Electric power transmission is interdisciplinary in nature, drawing from both Transmission line, Fault indicator and Real Time Digital Simulator.
His scientific interests lie mostly in Microgrid, Control theory, Phasor, Fault and Fault detection and isolation. His Microgrid study combines topics from a wide range of disciplines, such as Electrical impedance, Islanding, Distributed generation and Protective relay. His Control theory study integrates concerns from other disciplines, such as Frequency regulation, Control, Hardware-in-the-loop simulation and Voltage.
His work in Voltage addresses issues such as Phasor measurement unit, which are connected to fields such as Transmission system and Electronic engineering. His studies examine the connections between Phasor and genetics, as well as such issues in MATLAB, with regards to Low voltage, Signal processing and Signal. Fault is often connected to Backup in his work.
The scientist’s investigation covers issues in Phasor, Microgrid, Control theory, Units of measurement and Voltage. He interconnects MATLAB and Observability in the investigation of issues within Phasor. His Microgrid study incorporates themes from Electrical impedance and Distributed generation.
His Electrical impedance research includes themes of Acoustics, Composite number and Fault. His Control theory research is multidisciplinary, incorporating perspectives in Electric power transmission and Electric arc. His research in Voltage intersects with topics in Shunt, Transmission line, Recloser and Fault detection and isolation.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Fault Classification and Section Identification of an Advanced Series-Compensated Transmission Line Using Support Vector Machine
P.K. Dash;S.R. Samantaray;G. Panda.
IEEE Transactions on Power Delivery (2007)
A Combined Wavelet and Data-Mining Based Intelligent Protection Scheme for Microgrid
Debi Prasad Mishra;Subhransu Ranjan Samantaray;Geza Joos.
IEEE Transactions on Smart Grid (2016)
A Fuzzy Rule-Based Approach for Islanding Detection in Distributed Generation
S R Samantaray;Khalil El-Arroudi;Geza Joós;Innocent Kamwa.
IEEE Transactions on Power Delivery (2010)
Assessment of ROCPAD Relay for Islanding Detection in Distributed Generation
A Samui;S R Samantaray.
IEEE Transactions on Smart Grid (2011)
Data-Mining Model Based Intelligent Differential Microgrid Protection Scheme
Susmita Kar;S. R. Samantaray;M. Dadash Zadeh.
IEEE Systems Journal (2017)
Development of rule-based classifiers for rapid stability assessment of wide-area post disturbance records
I Kamwa;S R Samantaray;G Joos.
power and energy society general meeting (2010)
Detection and Classification of Power Quality Disturbances Using Sparse Signal Decomposition on Hybrid Dictionaries
M. Sabarimalai Manikandan;S. R. Samantaray;Innocent Kamwa.
IEEE Transactions on Instrumentation and Measurement (2015)
Fuzzy Partitioning of a Real Power System for Dynamic Vulnerability Assessment
I. Kamwa;A.K. Pradhan;G. Joos;S.R. Samantaray.
IEEE Transactions on Power Systems (2009)
Variational Mode Decomposition and Decision Tree Based Detection and Classification of Power Quality Disturbances in Grid-Connected Distributed Generation System
Pankaj D. Achlerkar;S. R. Samantaray;M. Sabarimalai Manikandan.
IEEE Transactions on Smart Grid (2018)
Wavelet Singular Entropy-Based Islanding Detection in Distributed Generation
A. Samui;S. R. Samantaray.
IEEE Transactions on Power Delivery (2013)
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