V. Sugumaran

5.7k citations

184 papers · 4.3k indexed · 1 hit paper · h-index 34

Impact in

Control and Systems Engineering top 0.2%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
Industrial and Manufacturing Engineering top 0.5%
- Industrial Vision Systems and Defect Detection

Papers in

Control and Systems Engineering 109
- Machine Fault Diagnosis Techniques 92
- Fault Detection and Control Systems 46
Industrial and Manufacturing Engineering 32
- Industrial Vision Systems and Defect Detection 30

Co-authors: K.I. Ramachandran V.S. Muralidharan N.R. Sakthivel Naveen Venkatesh Sridharan R. Jegadeeshwaran A. Joshuva M. Elangovan Hemantha Kumar
Journals: Indian Journal of Science and Technology (19 papers)Expert Systems with Applications (14 papers)Measurement (8 papers)Mechanical Systems and Signal Processing (5 papers)Energy Sources Part A Recovery Utilization and Environmental Effects (4 papers)
Partner nations: India Sweden Norway

In The Last Decade

V. Sugumaran

173 papers receiving 4.1k citations

Hit Papers

align trajectories log scale

Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearing 2006 · 356 citations

Peers

Countries citing papers authored by V. Sugumaran

Since Specialization

Citations

This map shows the geographic impact of V. Sugumaran's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by V. Sugumaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Sugumaran more than expected).

Fields of papers citing papers by V. Sugumaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Sugumaran. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by V. Sugumaran. The network helps show where V. Sugumaran may publish in the future.

Co-authors

The 25 scholars most cited alongside V. Sugumaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with V. Sugumaran Line = papers co-authored together V. Sugumaran links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Intelligent fault diagnosis for tribo-mechanical systems by machine learning: Multi-feature extraction and ensemble voting methods Knowledge-Based Systems ·G. Chirici, Naveen Venkatesh Sridharan, CHANGJin, V. Sugumaran, Fahmi Hassan Rashad, Max Marian	2024	11
2	Brake fault diagnosis using a voting ensemble of machine learning classifiers Results in Engineering ·Ogi Hermawan, Naveen Venkatesh Sridharan, R. Jegadeeshwaran, V. Sugumaran	2024	10
3	Advancing automobile dry clutch fault diagnosis through innovative imaging techniques and Vision transformer integration Measurement ·Lubna Ilyas, Anurag Banerjee, Naveen Venkatesh Sridharan, CHANGJin, V. Sugumaran	2024	5
4	A comparative study on bayes classifier for detecting photovoltaic module visual faults using deep learning features Sustainable Energy Technologies and Assessments ·Naveen Venkatesh Sridharan, V. Sugumaran, Balaji Subramanian, Luís Carlos Rodrigues, Edwin Geo Varuvel	2024	6
5	Enhancing photovoltaic module fault diagnosis: Leveraging unmanned aerial vehicles and autoencoders in machine learning Sustainable Energy Technologies and Assessments ·Hung Vo Thanh, Naveen Venkatesh Sridharan, V. Sugumaran, Mohammadreza Aghaei	2024	16
6	Efficacy of machine learning algorithm in estimating oxyhydrogen gas generation system: Electrolyte concentration and current influence on sustainable energy production Process Safety and Environmental Protection ·Balaji Subramanian, Naveen Venkatesh Sridharan, V. Sugumaran, Hiroyasu Kifune, Edwin Geo Varuvel, Pei‐Chien Tsai, Vinoth Kumar Ponnusamy	2024	1
7	Monitoring the condition of nitrogen-filled tires using weightless neural networks Automatika ·Brittany M Grantham, Naveen Venkatesh Sridharan, V. Sugumaran, A. E. Kuteynikov	2024	4
8	Transfer Learning‐Based Fault Diagnosis of Internal Combustion (IC) Engine Gearbox Using Radar Plots Journal of Sensors ·Naveen Venkatesh Sridharan, Donald Macpherson Haydon, V. Sugumaran, FMCPsych, Hemantha Kumar, Rosemarie Schneider-Gatica	2024	1
9	Ensemble-based deep learning model for welding defect detection and classification Engineering Applications of Artificial Intelligence ·Yamaguchi Munetaka, Naveen Venkatesh Sridharan, Øivind Kristensen, V. Sugumaran	2024	32
10	Prediction of air compressor faults with feature fusion and machine learning Knowledge-Based Systems ·Heba Ahmed Osama, Naveen Venkatesh Sridharan, Mohlomi Masooa, V. Sugumaran, Fahmi Hassan Rashad, Max Marian	2024	9
11	Tire Pressure Monitoring System Using Feature Fusion and Family of Lazy Classifiers Engineering Reports ·Faez Ahmed Khan, Naveen Venkatesh Sridharan, A. E. Kuteynikov, O. Yu. Ostalceva, V. Sugumaran	2024	0
12	Enhancing Tire Condition Monitoring through Weightless Neural Networks Using MEMS‐Based Vibration Signals Journal of Engineering ·Siddhant Arora, Naveen Venkatesh Sridharan, V. Sugumaran, A. E. Kuteynikov, Rosemarie Schneider-Gatica	2024	1
13	Transfer Learning Based Fault Detection for Suspension System Using Vibrational Analysis and Radar Plots Machines ·James Donald Froom, Naveen Venkatesh Sridharan, Seshathiri Dhanasekaran, 建治高野, V. Sugumaran, L. Natrayan, Prabhu Paramasivam	2023	23
14	Health Monitoring of Dry Clutch System Using Deep Learning Approach Intelligent Automation & Soft Computing ·CHANGJin, V. Sugumaran	2023	4
15	A STUDY OF VARIOUS BLADE FAULT CONDITIONS ON A WIND TURBINE USING VIBRATION SIGNALS THROUGH HISTOGRAM FEATURES SHILAP Revista de lepidopterología ·A. Joshuva, V. Sugumaran	2018	14
16	Brake fault diagnosis using Clonal Selection Classification Algorithm (CSCA) – A statistical learning approach Engineering Science and Technology an International Journal ·R. Jegadeeshwaran, V. Sugumaran	2014	37
17	Determination of minimum sample size for fault diagnosis of automobile hydraulic brake system using power analysis Engineering Science and Technology an International Journal ·Baitollah Badarloo, R. Vasanthakumari, R. Jegadeeshwaran, V. Sugumaran	2014	17
18	SELECTION OF DISCRETE WAVELETS FOR FAULT DIAGNOSIS OF MONOBLOCK CENTRIFUGAL PUMP USING THE J48 ALGORITHM Applied Artificial Intelligence ·V.S. Muralidharan, V. Sugumaran	2013	21
19	Fault Diagnosis of Helical Gear Box using Decision Tree through Vibration Signals International Journal of Performability Engineering ·V. Sugumaran, Deepak Jain, M. Amarnath, Hemantha Kumar	2013	14
20	Misfire Detection in a Spark Ignition Engine using Support Vector Machines International Journal of Computer Applications ·Yuma Akbar, K.I. Ramachandran, V. Sugumaran	2010	7

About V. Sugumaran

V. Sugumaran is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering, Mechanics of Materials and Renewable Energy, Sustainability and the Environment, having authored 184 papers that have together received 4.3k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (92 papers), Fault Detection and Control Systems (46 papers), Gear and Bearing Dynamics Analysis (31 papers), Industrial Vision Systems and Defect Detection (30 papers), Engineering Diagnostics and Reliability (28 papers), Photovoltaic System Optimization Techniques (18 papers), Hydraulic and Pneumatic Systems (18 papers) and Advanced machining processes and optimization (16 papers). The work is most often cited by research in Control and Systems Engineering (2.3k citations), Industrial and Manufacturing Engineering (560 citations), Mechanical Engineering (1.9k citations), Mechanics of Materials (828 citations) and Civil and Structural Engineering (473 citations). V. Sugumaran has collaborated with scholars based in India, Sweden and Norway. Frequent co-authors include K.I. Ramachandran, V.S. Muralidharan, N.R. Sakthivel, Naveen Venkatesh Sridharan, R. Jegadeeshwaran, A. Joshuva, M. Elangovan, Hemantha Kumar, Binoy B. Nair and S. Ravikumar. Their work appears in journals such as Indian Journal of Science and Technology, Expert Systems with Applications, Measurement, Mechanical Systems and Signal Processing and Energy Sources Part A Recovery Utilization and Environmental Effects.

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