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Dr V. Sugumaran
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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
6252007
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
3032010
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
2882012
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
2592011
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
2532015
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
2132007
Exploiting Sound Signals for Fault Diagnosis of Bearings Using Decision Tree
H Amarnath M, Sugumaran V
Measurement 46 (3), 1250–1256, 2013
2012013
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
1862011
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
1822012
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
1582008
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
1542014
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
1482011
Tool condition monitoring using K-star algorithm
S Painuli, M Elangovan, V Sugumaran
Expert Systems with Applications 41 (6), 2638-2643, 2014
1202014
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
1192014
Misfire detection in an IC engine using vibration signal and decision tree algorithms
A Sharma, V Sugumaran, S BabuDevasenapati
Measurement 50, 370-380, 2014
1152014
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
1142017
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
1082010
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
1032013
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
1032010
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