Dr V. Sugumaran

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Joshuva Arockia DhanrajAssociate Professor, Dayananda Sagar UniversityVerifierad e-postadress på dsu.edu.in
N.R.SakthivelAssociate professor, Mechanical Engineering, Amrita Vishwa VidyapeethamVerifierad e-postadress på cb.amrita.edu
Dr. V. MuralidharanB.S. Abdur Rahman Crescent Institute of Science and TechnologyVerifierad e-postadress på crescent.education
M AmarnathAssistant Professor, IIITDM Jabalpur, IndiaVerifierad e-postadress på iiitdmj.ac.in
R JegadeeshwaranVellore Institute of Technology (VIT University), Chennai.Verifierad e-postadress på vit.ac.in
Dr Naveen Venkatesh SLuleå University of TechnologyVerifierad e-postadress på associated.ltu.se
M.ElangovanSNS college of TechnologyVerifierad e-postadress på snsct.org
Dr. Hemantha KumarProfessor, Department of Mechanical EngineeringVerifierad e-postadress på nitk.edu.in
Binoy B. NairAmrita Vishwa VidyapeethamVerifierad e-postadress på cb.amrita.edu
Dr. Babu Devasenapati SProfessor in School of Engineering & Technology, CMR UniversityVerifierad e-postadress på cmr.edu.in
Dr. Anoop Prabhakaranpillai SreelathaHead of Administration & Associate Professor, Providence College of EngineeringVerifierad e-postadress på providence.edu.in
ganjikunta chakrapaniresearch associateVerifierad e-postadress på vitstudent.ac.in
Sabareesh Geetha RajasekharanBITS-PilaniVerifierad e-postadress på hyderabad.bits-pilani.ac.in
Dr.V V RamalingamAssociate Professor, Computer Science and Engineering, S.R.M Institute of Science and TechnologyVerifierad e-postadress på srmist.edu.in
Mohammadreza AghaeiSenior Scientist, Professor, SMIEEEVerifierad e-postadress på ise.fraunhofer.de
S. ARAVINTHAssistant Professor - Mechanical Engineering, Sri Ranganathar Institute of Engineering andVerifierad e-postadress på sriet.ac.in
Mohan Sellappa GounderProfessor - Nitte Meenakshi Institute of Technology, Bangalore, IndiaVerifierad e-postadress på ieee.org
Soman K.PHead, CEN, AMRITA VISHWA VIDYAPEETHAMVerifierad e-postadress på amrita.edu
Tapan Kumar MahantaVellore Institute of Technology, Chennai CampusVerifierad e-postadress på vit.ac.in
Annamalai KProfessor, School of Mechanical Engineering, Vellore Institute of Technology, ChennaiVerifierad e-postadress på vit.ac.in

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Dr V. Sugumaran

VIT University - Chennai Campus

Verifierad e-postadress på vit.ac.in - Startsida

Fault diagnosis Applications of machine learning Predictive Analytics Machine Condition monitoring


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	626	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	303	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	288	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	259	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	253	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	213	2007
Exploiting Sound Signals for Fault Diagnosis of Bearings Using Decision Tree H Amarnath M, Sugumaran V Measurement 46 (3), 1250–1256, 2013	201	2013
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	186	2011
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	182	2012
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	158	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	157*	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	155	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	148	2011
Tool condition monitoring using K-star algorithm S Painuli, M Elangovan, V Sugumaran Expert Systems with Applications 41 (6), 2638-2643, 2014	120	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	119	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	116	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	114	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	108	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	103	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	103	2010

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