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 | 599 | 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 | 282 | 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 | 264 | 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 | 250 | 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 | 227 | 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 | 208 | 2007 |
Exploiting Sound Signals for Fault Diagnosis of Bearings Using Decision Tree H Amarnath M, Sugumaran V Measurement 46 (3), 1250–1256, 2013 | 181 | 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 | 177 | 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 | 174 | 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 | 155 | 2008 |
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 | 142 | 2011 |
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 | 139 | 2014 |
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 | 138* | 2016 |
Tool condition monitoring using K-star algorithm S Painuli, M Elangovan, V Sugumaran Expert Systems with Applications 41 (6), 2638-2643, 2014 | 109 | 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 | 109 | 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 | 104 | 2014 |
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 | 103 | 2010 |
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 | 102 | 2017 |
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 | 101 | 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 |