H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 50 Citations 8,425 210 World Ranking 1178 National Ranking 5

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Artificial neural network

His scientific interests lie mostly in Control theory, Electric power system, Artificial neural network, S transform and Pattern recognition. His Control theory research incorporates themes from Control engineering, Estimation theory and Voltage. In his study, Fourier transform is inextricably linked to Fuzzy control system, which falls within the broad field of Electric power system.

His Artificial neural network research incorporates elements of Electrical network, Error function, Waveform, Harmonics and Fault. P.K. Dash has included themes like Decision tree, Power quality, Classifier and Feature selection in his S transform study. The Pattern recognition study combines topics in areas such as Fuzzy set and Artificial intelligence.

His most cited work include:

  • Power quality analysis using S-transform (313 citations)
  • Frequency estimation of distorted power system signals using extended complex Kalman filter (251 citations)
  • Fault Classification and Section Identification of an Advanced Series-Compensated Transmission Line Using Support Vector Machine (235 citations)

What are the main themes of his work throughout his whole career to date?

P.K. Dash focuses on Control theory, Electric power system, Artificial neural network, Fuzzy logic and Artificial intelligence. The various areas that P.K. Dash examines in his Control theory study include Control engineering, Fault and Electronic engineering. As a part of the same scientific family, P.K. Dash mostly works in the field of Fault, focusing on Algorithm and, on occasion, Support vector machine.

The study incorporates disciplines such as Sliding mode control, Robustness and Harmonics, AC power, Voltage in addition to Electric power system. The concepts of his Artificial neural network study are interwoven with issues in Electrical network, Mathematical optimization and Electrical load. His work focuses on many connections between Artificial intelligence and other disciplines, such as Pattern recognition, that overlap with his field of interest in Signal processing and Power quality.

He most often published in these fields:

  • Control theory (61.45%)
  • Electric power system (25.30%)
  • Artificial neural network (21.29%)

What were the highlights of his more recent work (between 2013-2021)?

  • Control theory (61.45%)
  • Microgrid (6.43%)
  • Artificial neural network (21.29%)

In recent papers he was focusing on the following fields of study:

P.K. Dash spends much of his time researching Control theory, Microgrid, Artificial neural network, Photovoltaic system and Fault. His work carried out in the field of Control theory brings together such families of science as Voltage source, AC power and Electric power system. His Artificial neural network research integrates issues from Mathematical optimization, Fuzzy logic and Solar power.

His Fuzzy logic research is under the purview of Artificial intelligence. His Fault research includes themes of Algorithm, Transmission line, Electronic engineering and Capacitor. P.K. Dash interconnects Phasor and Signal in the investigation of issues within Electronic engineering.

Between 2013 and 2021, his most popular works were:

  • Fault Detection and Location of Photovoltaic Based DC Microgrid Using Differential Protection Strategy (94 citations)
  • Short-term wind speed and wind power prediction using hybrid empirical mode decomposition and kernel ridge regression (60 citations)
  • Detection, classification, and location of faults in power transmission lines (48 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Control theory
  • Machine learning

P.K. Dash mainly focuses on Control theory, Fault, AC power, Sliding mode control and Electric power system. P.K. Dash mostly deals with Terminal sliding mode in his studies of Control theory. His Fault study combines topics from a wide range of disciplines, such as Transmission line and Interpolation.

He usually deals with Sliding mode control and limits it to topics linked to Backstepping and Nonlinear control. His Photovoltaic system study integrates concerns from other disciplines, such as Maximum power point tracking and Microgrid. His research investigates the link between Electric power transmission and topics such as Noise that cross with problems in Harmonics.

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.

Best Publications

Power quality analysis using S-transform

P. E. K. Dash;B. K. Panigrahi;G. Panda.
IEEE Power & Energy Magazine (2002)

556 Citations

Frequency estimation of distorted power system signals using extended complex Kalman filter

P.K. Dash;A.K. Pradhan;G. Panda.
IEEE Transactions on Power Delivery (1999)

359 Citations

Multiresolution S-transform-based fuzzy recognition system for power quality events

M.V. Chilukuri;P.K. Dash.
IEEE Transactions on Power Delivery (2004)

359 Citations

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)

308 Citations

Power Quality Disturbance Classification Using Fuzzy C-Means Algorithm and Adaptive Particle Swarm Optimization

B. Biswal;P.K. Dash;B.K. Panigrahi.
IEEE Transactions on Industrial Electronics (2009)

282 Citations

S-transform-based intelligent system for classification of power quality disturbance signals

I.W.C. Lee;P.K. Dash.
IEEE Transactions on Industrial Electronics (2003)

265 Citations

An adaptive linear combiner for on-line tracking of power system harmonics

P.K. Dash;D.P. Swain;A.C. Liew;S. Rahman.
IEEE Transactions on Power Systems (1996)

263 Citations

An extended complex Kalman filter for frequency measurement of distorted signals

P.K. Dash;R.K. Jena;G. Panda;A. Routray.
IEEE Transactions on Instrumentation and Measurement (2000)

233 Citations

Adaptive relay setting for flexible AC transmission systems (FACTS)

P.K. Dash;A.K. Pradhan;G. Panda;A.C. Liew.
IEEE Transactions on Power Delivery (2000)

201 Citations

Classification of power system disturbances using a fuzzy expert system and a Fourier linear combiner

P.K. Dash;S. Mishra;M.A. Salama;A.C. Liew.
IEEE Transactions on Power Delivery (2000)

197 Citations

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