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V. Sugumaran
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2020 – today
- 2024
- [j29]V. Shandhoosh, Naveen Venkatesh S.
, G. Chakrapani, V. Sugumaran, Sangharatna M. Ramteke, Max Marian
:
Intelligent fault diagnosis for tribo-mechanical systems by machine learning: Multi-feature extraction and ensemble voting methods. Knowl. Based Syst. 305: 112694 (2024) - 2023
- [j28]G. Chakrapani, V. Sugumaran:
Transfer learning based fault diagnosis of automobile dry clutch system. Eng. Appl. Artif. Intell. 117(Part): 105522 (2023) - 2022
- [j27]P. S. Anoop
, V. Sugumaran:
Effect of wheel balancing on tyre condition monitoring system using vibration signals through statistical features and machine learning techniques. J. Intell. Fuzzy Syst. 43(1): 561-573 (2022)
2010 – 2019
- 2016
- [j26]V. Muralidharan, V. Sugumaran:
SVM-based wavelet selection for fault diagnosis of monoblock centrifugal pump. Int. J. Data Anal. Tech. Strateg. 8(4): 357-369 (2016) - 2015
- [i3]M. Amarnath, S. Arunav, Hemantha Kumar, V. Sugumaran, G. S. Raghvendra:
Fault Diagnosis of Helical Gear Box using Large Margin K-Nearest Neighbors Classifier using Sound Signals. CoRR abs/1508.04734 (2015) - 2014
- [j25]Sanidhya Painuli
, M. Elangovan, V. Sugumaran
:
Tool condition monitoring using K-star algorithm. Expert Syst. Appl. 41(6): 2638-2643 (2014) - [j24]Hemantha Kumar
, T. A. Ranjit Kumar, M. Amarnath, V. Sugumaran
:
Fault diagnosis of bearings through vibration signal using Bayes classifiers. Int. J. Comput. Aided Eng. Technol. 6(1): 14-28 (2014) - [i2]Siddhant Sahu, V. Sugumaran:
Bayesian Sample Size Determination of Vibration Signals in Machine Learning Approach to Fault Diagnosis of Roller Bearings. CoRR abs/1402.6133 (2014) - 2013
- [j23]V. Muralidharan, V. Sugumaran
:
Selection of discrete Wavelets for Fault Diagnosis of monoblock centrifugal Pump using the J48 Algorithm. Appl. Artif. Intell. 27(1): 1-19 (2013) - [i1]Anish Bahri, V. Sugumaran, S. Babu Devasenapati:
Misfire Detection in IC Engine using Kstar Algorithm. CoRR abs/1310.3717 (2013) - 2012
- [j22]N. R. Sakthivel
, V. Sugumaran
, Binoy B. Nair
:
Automatic rule learning using roughset for fuzzy classifier in fault categorization of mono-block centrifugal pump. Appl. Soft Comput. 12(1): 196-203 (2012) - [j21]N. R. Sakthivel
, Binoy B. Nair
, V. Sugumaran
:
Soft computing approach to fault diagnosis of centrifugal pump. Appl. Soft Comput. 12(5): 1574-1581 (2012) - [j20]V. Muralidharan, V. Sugumaran
:
A comparative study of Naïve Bayes classifier and Bayes net classifier for fault diagnosis of monoblock centrifugal pump using wavelet analysis. Appl. Soft Comput. 12(8): 2023-2029 (2012) - [j19]N. R. Sakthivel
, Binoy B. Nair
, V. Sugumaran
, Rajakumar S. Roy
:
Application of standalone system and hybrid system for fault diagnosis of centrifugal pump using time domain signals and statistical features. Int. J. Data Min. Model. Manag. 4(1): 74-104 (2012) - 2011
- [j18]S. Ravikumar
, K. I. Ramachandran, V. Sugumaran
:
Machine learning approach for automated visual inspection of machine components. Expert Syst. Appl. 38(4): 3260-3266 (2011) - [j17]M. Saimurugan
, K. I. Ramachandran, V. Sugumaran
, N. R. Sakthivel
:
Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine. Expert Syst. Appl. 38(4): 3819-3826 (2011) - [j16]V. Sugumaran
, K. I. Ramachandran:
Effect of number of features on classification of roller bearing faults using SVM and PSVM. Expert Syst. Appl. 38(4): 4088-4096 (2011) - [j15]V. Sugumaran, K. I. Ramachandran:
Fault diagnosis of roller bearing using fuzzy classifier and histogram features with focus on automatic rule learning. Expert Syst. Appl. 38(5): 4901-4907 (2011) - [j14]V. Indira, R. Vasanthakumari, N. R. Sakthivel
, V. Sugumaran
:
A method for calculation of optimum data size and bin size of histogram features in fault diagnosis of mono-block centrifugal pump. Expert Syst. Appl. 38(6): 7708-7717 (2011) - [j13]M. Elangovan, V. Sugumaran
, K. I. Ramachandran, S. Ravikumar
:
Effect of SVM kernel functions on classification of vibration signals of a single point cutting tool. Expert Syst. Appl. 38(12): 15202-15207 (2011) - [j12]V. Indira, R. Vasanthakumari, N. R. Sakthivel
, V. Sugumaran
:
Determination of sample size using power analysis and optimum bin size of histogram features. Int. J. Data Anal. Tech. Strateg. 3(1): 21-41 (2011) - [j11]N. R. Sakthivel
, Binoy B. Nair
, V. Sugumaran
, Rajakumar S. Rai
:
Decision support system using artificial immune recognition system for fault classification of centrifugal pump. Int. J. Data Anal. Tech. Strateg. 3(1): 66-84 (2011) - [j10]V. Muralidharan, V. Sugumaran
, N. R. Sakthivel
:
Wavelet decomposition and support vector machine for fault diagnosis of monoblock centrifugal pump. Int. J. Data Anal. Tech. Strateg. 3(2): 159-177 (2011) - [j9]N. R. Sakthivel, V. Indira, Binoy B. Nair, V. Sugumaran:
Use of histogram features for decision tree-based fault diagnosis of monoblock centrifugal pump. Int. J. Granul. Comput. Rough Sets Intell. Syst. 2(1): 23-36 (2011) - 2010
- [j8]S. Radhika, G. R. Sabareesh, G. Jagadanand, V. Sugumaran
:
Precise wavelet for current signature in 3phi IM. Expert Syst. Appl. 37(1): 450-455 (2010) - [j7]M. Elangovan, K. I. Ramachandran, V. Sugumaran
:
Studies on Bayes classifier for condition monitoring of single point carbide tipped tool based on statistical and histogram features. Expert Syst. Appl. 37(3): 2059-2065 (2010) - [j6]S. Babu Devasenapati, V. Sugumaran
, K. I. Ramachandran:
Misfire identification in a four-stroke four-cylinder petrol engine using decision tree. Expert Syst. Appl. 37(3): 2150-2160 (2010) - [j5]N. R. Sakthivel
, V. Sugumaran
, S. Babu Devasenapati:
Vibration based fault diagnosis of monoblock centrifugal pump using decision tree. Expert Syst. Appl. 37(6): 4040-4049 (2010) - [j4]V. Indira, R. Vasanthakumari, V. Sugumaran
:
Minimum sample size determination of vibration signals in machine learning approach to fault diagnosis using power analysis. Expert Syst. Appl. 37(12): 8650-8658 (2010) - [j3]N. R. Sakthivel, V. Sugumaran, Binoy B. Nair:
Application of Support Vector Machine (SVM) and Proximal Support Vector Machine (PSVM) for fault classification of monoblock centrifugal pump. Int. J. Data Anal. Tech. Strateg. 2(1): 38-61 (2010)
2000 – 2009
- 2009
- [j2]V. Sugumaran
, R. Ajith Kumar
, B. H. Lakshmana Gowda, Chang Hyun Sohn:
Safety analysis on a vibrating prismatic body: A data-mining approach. Expert Syst. Appl. 36(3): 6605-6612 (2009) - 2008
- [j1]V. Sugumaran
, G. R. Sabareesh, K. I. Ramachandran:
Fault diagnostics of roller bearing using kernel based neighborhood score multi-class support vector machine. Expert Syst. Appl. 34(4): 3090-3098 (2008)
Coauthor Index

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