Dr V. Sugumaran

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	All	Since 2019
Citations	6506	3888
h-index	39	31
i10-index	104	77

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2008200920102011201220132014201520162017201820192020202120222023202424 31 53 89 122 199 261 351 477 416 526 622 594 691 720 677 578

Co-authors

Joshuva Arockia DhanrajAssociate Professor, Dayananda Sagar UniversityVerified email at dsu.edu.in
Dr. V. MuralidharanB.S. Abdur Rahman Crescent Institute of Science and TechnologyVerified email at crescent.education
N.R.SakthivelAssociate professor, Mechanical Engineering, Amrita Vishwa VidyapeethamVerified email at cb.amrita.edu
M AmarnathAssistant Professor, IIITDM Jabalpur, IndiaVerified email at iiitdmj.ac.in
R JegadeeshwaranVellore Institute of Technology (VIT University), Chennai.Verified email at vit.ac.in
M.ElangovanSNS college of TechnologyVerified email at snsct.org
Dr Naveen Venkatesh SLuleå University of TechnologyVerified email at associated.ltu.se
Dr. Hemantha KumarProfessor, Department of Mechanical EngineeringVerified email at nitk.edu.in
Binoy B. NairAmrita Vishwa VidyapeethamVerified email at cb.amrita.edu
Dr. Babu Devasenapati SProfessor in School of Engineering & Technology, CMR UniversityVerified email at cmr.edu.in
Arun BalajiPost Doc Fellow, Amrita School of Artificial IntelligenceVerified email at blr.amrita.edu
Dr. Anoop Prabhakaranpillai SreelathaPost Doctoral Fellow, Amrita Vishwa VidyapeethamVerified email at am.amrita.edu
Sabareesh Geetha RajasekharanBITS-PilaniVerified email at hyderabad.bits-pilani.ac.in
ganjikunta chakrapaniresearch associateVerified email at vitstudent.ac.in
Dr.V V RamalingamAssociate Professor, Computer Science and Engineering, S.R.M Institute of Science and TechnologyVerified email at srmist.edu.in
S. ARAVINTHAssistant Professor - Mechanical Engineering, Sri Ranganathar Institute of Engineering andVerified email at sriet.ac.in
Mohan Sellappa GounderProfessor - Nitte Meenakshi Institute of Technology, Bangalore, IndiaVerified email at ieee.org
Mohammadreza AghaeiSenior Scientist, Professor, SMIEEEVerified email at ise.fraunhofer.de
Soman K.PHead, CEN, AMRITA VISHWA VIDYAPEETHAMVerified email at amrita.edu
Saimurugan MuthusamyAssistant ProfessorVerified email at cb.amrita.edu

Dr V. Sugumaran

VIT University - Chennai Campus

Verified email at vit.ac.in - Homepage

Fault diagnosis Applications of machine learning Predictive Analytics Machine Condition monitoring


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearing VMKIR V. Sugumaran Mechanical Systems and Signal Processing 21 (2), 930-942, 2007	615	2007
Vibration based fault diagnosis of monoblock centrifugal pump using decision tree NR Sakthivel, V Sugumaran, S Babudevasenapati Expert Systems with Applications 37 (6), 4040-4049, 2010	290	2010
A comparative study of Naïve Bayes classifier and Bayes net classifier for fault diagnosis of monoblock centrifugal pump using wavelet analysis V Muralidharan, V Sugumaran Applied Soft Computing 12 (8), 2023–2029, 2012	274	2012
Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine M Saimurugan, KI Ramachandran, V Sugumaran, NR Sakthivel Expert Systems with Applications 38 (4), 3819-3826, 2011	254	2011
Fault diagnosis of automobile hydraulic brake system using statistical features and support vector machines R Jegadeeshwaran, V Sugumaran Mechanical Systems and Signal Processing 52, 436-446, 2015	235	2015
Automatic rule learning using decision tree for fuzzy classifier in fault diagnosis of roller bearing V Sugumaran, KI Ramachandran Mechanical Systems and Signal Processing 21 (5), 2237-2247, 2007	209	2007
Exploiting Sound Signals for Fault Diagnosis of Bearings Using Decision Tree H Amarnath M, Sugumaran V Measurement 46 (3), 1250–1256, 2013	186	2013
Feature Extraction using Wavelets and Classification through Decision Tree Algorithm for Fault Diagnosis of Mono-Block Centrifugal Pump V Muralidharan, V Sugumaran Measurement 46 (1), 353–359, 2012	180	2012
Effect of number of features on classification of roller bearing faults using SVM and PSVM V Sugumaran, KI Ramachandran Expert Systems with Applications 38 (4), 4088-4096, 2011	180	2011
Fault diagnostics of roller bearing using kernel based neighborhood score multi-class support vector machine V Sugumaran, GR Sabareesh, KI Ramachandran Expert Systems with Applications 34 (4), 3090-3098, 2008	155	2008
Fault diagnostics of a gearbox via acoustic signal using wavelet features, J48 Decision Tree and Random Tree Classifier S Gupta, S Abraham, V Sugumaran, M Amarnath Indian J Sci Technol 9, 1-8, 2016	147*	2016
Fault Diagnosis of Monoblock Centrifugal pump using SVM VI V. Muralidharan, V. Sugumaran Engineering Science and Technology: an International Journal 17 (3), 152–157, 2014	147	2014
Machine learning approach for automated visual inspection of machine components S Ravikumar, KI Ramachandran, V Sugumaran Expert Systems With Applications 38 (4), 3260-3266, 2011	145	2011
Tool condition monitoring using K-star algorithm S Painuli, M Elangovan, V Sugumaran Expert Systems with Applications 41 (6), 2638-2643, 2014	112	2014
Comparison of Dimensionality Reduction Techniques for the Fault Diagnosis of Mono block Centrifugal Pump Using Vibration Signals NRS vel, ME Binoy B Nair, V Sugumaran, SS Murugan Engineering Science and Technology: an International Journal 17 (1), 30–38, 2014	111	2014
Misfire detection in an IC engine using vibration signal and decision tree algorithms A Sharma, V Sugumaran, S BabuDevasenapati Measurement 50, 370-380, 2014	109	2014
A data driven approach for condition monitoring of wind turbine blade using vibration signals through best-first tree algorithm and functional trees algorithm: A comparative study A Joshuva, V Sugumaran ISA transactions 67, 160-172, 2017	106	2017
Comparison of decision tree fuzzy and rough set fuzzy method for fault categorization of monoblock centrifugal pump” NR Sakthivel, VBBN Sugumaran Mechanical system and signal processing 24, 1887-1906, 2010	104	2010
Rough set based rule learning and fuzzy classification of wavelet features for fault diagnosis of monoblock centrifugal pump V Muralidharan, V Sugumaran Measurement 46 (9), 3057-3063, 2013	102	2013
Studies on Bayes classifier for condition monitoring of single point carbide tipped tool based on statistical and histogram features M Elangovan, KI Ramachandran, V Sugumaran Expert Systems with Applications 37 (3), 2059-2065, 2010	99	2010

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