Profiles
Research Units
Publications
Sign Up
Faculty Login
X
118 Publications
46 Journals
Sugumaran V
Professor Grade 1
Mechanical
sugumaran.v@vit.ac.in (Work)
Follow
Publications - 118
Overview
Publications (118)
Network (11)
Publications (118)
Sort by Year (most recent)
Sort by Year (most recent)
Sort by Year (oldest first)
Sort by Most Cited
Sort by Recently Added
Sort (A-Z)
Sort (Z-A)
Reviews
Fault diagnosis of visual faults in photovoltaic modules: A Review
N.V. S
and
Sugumaran V
2021 | Bellwether Publishing, Ltd.
Articles
Convolutional Neural Network based Automatic Detection of Visible Faults in a Photovoltaic Module
N.V. Sridharan
and
Sugumaran V
2021 | Bellwether Publishing, Ltd.
Articles
A combined approach of convolutional neural networks and machine learning for visual fault classification in photovoltaic modules
S.N. Venkatesh
and
Sugumaran V
2021 | SAGE Publications Ltd
Articles
Comparative study on tool fault diagnosis methods using vibration signals and cutting force signals by machine learning technique
S.S. Aralikatti
,
K.N. Ravikumar
,
...
,
Sugumaran V
(5 authors)
2020 | Tech Science Press
Download
PDF
Publisher Copy
Journal Article
A lazy learning approach for condition monitoring of wind turbine blade using vibration signals and histogram features
Joshuva A
and
Sugumaran V
2020 | Elsevier BV
Articles
State of the art of structural health monitoring of wind turbines
A. Joshuva
,
A.K. Aslesh
and
Sugumaran V
2019 | Transstellar Journal Publications and Research Consultancy Private Limited (TJPRC)
Articles
Crack detection and localization on wind turbine blade using machine learning algorithms: A data mining approach
A. Joshuva
and
Sugumaran V
2019 | Tech Science Press
Download
PDF
Publisher Copy
Articles
Improvement in wind energy production through condition monitoring of wind turbine blades using vibration signatures and ARMA features: A data-driven approach
A. Joshuva
and
Sugumaran V
2019 | Inderscience Publishers
Articles
Classification of roller bearing faults using iterative classifier
A.B. Azam
,
M. Amarnath
and
Sugumaran V
2019 | Transstellar Journal Publications and Research Consultancy Private Limited (TJPRC)
Articles
Comparative study on tree classifiers for application to condition monitoring of wind turbine blade through histogram features using vibration signals: A data-mining approach
A. Joshuva
and
Sugumaran V
2019 | Tech Science Press
Download
PDF
Publisher Copy
Articles
Selection of a meta classifier-data model for classifying wind turbine blade fault conditions using histogram features and vibration signals: A data-mining study
A. Joshuva
and
Sugumaran V
2019 | Inderscience Publishers
Articles
Tool wear monitoring using NNGE algorithm
J. Saran
,
M. Elangovan
and
Sugumaran V
2019 | Transstellar Journal Publications and Research Consultancy Private Limited (TJPRC)
Journal Article
A Novel Cognitive Optimization for the Eradication of Non-linear Effects by FWM in Radio-Over Fiber Systems
Sugumaran V
and
Arulmozhivarman P
2018 | Springer Science and Business Media LLC
Journal Article
A Comparative Study for Condition Monitoring on Wind Turbine Blade using Vibration Signals through Statistical Features: a Lazy Learning Approach
Joshuva A
and
Sugumaran V
2018 | Science Publishing Corporation
Download
PDF
Publisher Copy
Journal Article
Air compressor fault diagnosis through statistical feature extraction and random forest classifier
Aravinth S
and
Sugumaran V
2018 | Inderscience Publishers
Journal Article
A machine learning approach for condition monitoring of wind turbine blade using autoregressive moving average (ARMA) features through vibration signals: a comparative study
Joshuva A
and
Sugumaran V
2018 | Inderscience Publishers
Journal Article
Comparative Modeling on Surface Roughness for Roller Burnishing Process using Fuzzy Logic
Senthil Kumar P
,
Sridhar Babu B
and
Sugumaran V
2018 | Transstellar Journal Publications and Research Consultancy Private Limited
Journal Article
Condition Monitoring of Single Point Cutting Tools Based on Machine Learning Approach
Gangadhar N
,
Kumar H
,
...
,
Sugumaran V
(4 authors)
2018 | International Institute of Acoustics and Vibration (IIAV)
Journal Article
Vibration based Condition Monitoring of a Brake System using Statistical Features with Logit Boost and Simple Logistic Algorithm
Alamelu Mangai M
,
Jegadeeshwaran R
and
Sugumaran V
2018 | Totem Publisher, Inc.
Journal Article
Misfire detection in I.C. engine through ARMA features using machine learning approach
Mulay S
,
Sugumaran V
and
Babu Devasenapati S.
2018 | Inderscience Publishers
Showing 1-20 of 118 results
prev
1
2
3
4
5
6
next
Get all the updates from Sugumaran V
Follow