Ministry of Education
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Dr Venkatesh Srinivasan

vidwan id: 191551
Male

,

Orchid Icon 0000-0001-6547-3165 Google Scholar Icon 16317666300 Researcher Icon L-7225-2017 Google Scholar Icon VEKMUvwAAAAJ

Expertise

  • Electrical and Electronic Engineering

Publications

Total Articles 21
Books 0
Proceedings 0

Publications

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Scopus

Citations 177
h-index 8

CrossRef

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Citations 88
h-index 4
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Bio

High Voltage Engineering, Condition Monitoring of Insulation Systems, Lightning Protection

Personal Details

  • Male
  • Vellore Institute of Technology
PhD
Other Institute 2013
Associate Professor Apr 2016 – Dec 2022
Vellore Institute of Technology, Vellore | School of Electrical Engineering

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Co-Authors (8)

Kannan

Prof Kannan Krithivasan

Shanmugha Arts, Science, Technology & Reserch Academy (SASTRA), Thanjavur

Mohamed Ghouse

Dr Mohamed Ghouse S

Shanmugha Arts, Science, Technology & Reserch Academy (SASTRA), Thanjavur

Balasubramanian

Dr Balasubramanian Madanmohan

Shanmugha Arts, Science, Technology & Reserch Academy (SASTRA), Thanjavur

Natarajan

Dr Natarajan Shanmugam

Shanmugha Arts, Science, Technology & Reserch Academy (SASTRA), Thanjavur

Srinivasan

Dr Srinivasan P S S

Knowledge Institute of Technology

Periaswamy

Dr Periaswamy Srinivasan

Birla Institute of Technology and Science

Rajesh

Dr Rajesh Rajamani

Shanmugha Arts, Science, Technology & Reserch Academy (SASTRA), Thanjavur

Jayalalitha

Prof Jayalalitha Subbaiah

Shanmugha Arts, Science, Technology & Reserch Academy (SASTRA), Thanjavur

Scholarly Work

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Scholarly Publications

Effectiveness of partition and graph theoretic clustering algorithms for multiple source partial discharge pattern classification using probabilistic neural network and its adaptive version: A critique based on experimental studies

Open Access
Article
Year: 2012.
Authors: Venkatesh S.;Gopal S.;Kannan K.
DOI 10.1155/2012/479696

Role of partitioning based clustering algorithms in classifying multi-source partial discharge patterns using Probabilstic neural network and its adaptive version - a review

Open Access
Review
Year: 2012. Volume: 36 , Issue: 1 , Pages: 66-84 .
Authors: Venkatesh S.;Gopal S.;Jayalalitha S.

Dynamic pattern recognition approach for partial discharge signature analysis using hidden Markov models: A critique based on experimental investigations

Open Access
Article
Year: 2012. Volume: 7 , Issue: 2 , Pages: 4329-4342 .
Authors: Venkatesh S.;Gopal S.;Kannan K.
4

Role of insulating barriers during electrical treeing in composite dielectrics using partial discharge signature analysis based on adaptive probabilistic neural network

Open Access
Conference Paper
Year: 2012. Pages: 1063-1066 .
Authors: Venkatesh S.;Ghouse S.M.;Ramamoorthi P.V.;Natarajan S.
DOI 10.1109/CMD.2012.6416340
1 3

Development of a portable PDC diagnostic system for discriminating transformer insulation and winding faults using Homoscedastic Probabilistic Neural Network

Open Access
Conference Paper
Year: 2012. Pages: 605-608 .
Authors: Natarajan S.;Rajesh R.;Venkatesh S.;Ghouse S.
DOI 10.1109/CMD.2012.6416217

Robust Heteroscedastic Probabilistic Neural Network for multiple source partial discharge pattern recognition - Significance of outliers on classification capability

Open Access
Article
Expert Systems with Applications. Year: 2011. Volume: 38 , Issue: 9 , Pages: 11501-11514 .
Authors: Venkatesh S.;Gopal S.
DOI 10.1016/j.eswa.2011.03.026
12 26

Orthogonal least square center selection technique - A robust scheme for multiple source Partial Discharge pattern recognition using Radial Basis Probabilistic Neural Network

Open Access
Article
Expert Systems with Applications. Year: 2011. Volume: 38 , Issue: 7 , Pages: 8978-8989 .
Authors: Venkatesh S.;Gopal S.
DOI 10.1016/j.eswa.2011.01.115
15 31

Partial discharge pattern classification using composite versions of probabilistic neural network inference engine

Open Access
Article
Expert Systems with Applications. Year: 2008. Volume: 34 , Issue: 3 , Pages: 1938-1947 .
Authors: Karthikeyan B.;Gopal S.;Venkatesh S.
DOI 10.1016/j.eswa.2007.02.005
26 32