V. Sugumaran

According to our database, V. Sugumaran authored at least 32 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Intelligent fault diagnosis for tribo-mechanical systems by machine learning: Multi-feature extraction and ensemble voting methods.

V. Shandhoosh, Naveen Venkatesh S., G. Chakrapani, V. Sugumaran, Sangharatna M. Ramteke, Max Marian

Knowl. Based Syst., 2024

2023

Transfer learning based fault diagnosis of automobile dry clutch system.

G. Chakrapani, V. Sugumaran

Eng. Appl. Artif. Intell., 2023

2022

Effect of wheel balancing on tyre condition monitoring system using vibration signals through statistical features and machine learning techniques.

P. S. Anoop, V. Sugumaran

J. Intell. Fuzzy Syst., 2022

2016

SVM-based wavelet selection for fault diagnosis of monoblock centrifugal pump.

V. Muralidharan, V. Sugumaran

Int. J. Data Anal. Tech. Strateg., 2016

2015

Fault Diagnosis of Helical Gear Box using Large Margin K-Nearest Neighbors Classifier using Sound Signals.

M. Amarnath, S. Arunav, Hemantha Kumar, V. Sugumaran, G. S. Raghvendra

CoRR, 2015

2014

Fault diagnosis of bearings through vibration signal using Bayes classifiers.

Hemantha Kumar, T. A. Ranjit Kumar, M. Amarnath, V. Sugumaran

Int. J. Comput. Aided Eng. Technol., 2014

Tool condition monitoring using K-star algorithm.

Sanidhya Painuli, M. Elangovan, V. Sugumaran

Expert Syst. Appl., 2014

Bayesian Sample Size Determination of Vibration Signals in Machine Learning Approach to Fault Diagnosis of Roller Bearings.

Siddhant Sahu, V. Sugumaran

CoRR, 2014

2013

Misfire Detection in IC Engine using Kstar Algorithm.

Anish Bahri, V. Sugumaran, S. Babu Devasenapati

CoRR, 2013

Selection of discrete Wavelets for Fault Diagnosis of monoblock centrifugal Pump using the J48 Algorithm.

V. Muralidharan, V. Sugumaran

Appl. Artif. Intell., 2013

2012

Application of standalone system and hybrid system for fault diagnosis of centrifugal pump using time domain signals and statistical features.

N. R. Sakthivel, Binoy B. Nair, V. Sugumaran, Rajakumar S. Roy

Int. J. Data Min. Model. Manag., 2012

Automatic rule learning using roughset for fuzzy classifier in fault categorization of mono-block centrifugal pump.

N. R. Sakthivel, V. Sugumaran, Binoy B. Nair

Appl. Soft Comput., 2012

Soft computing approach to fault diagnosis of centrifugal pump.

N. R. Sakthivel, Binoy B. Nair, V. Sugumaran

Appl. Soft Comput., 2012

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

Appl. Soft Comput., 2012

2011

Use of histogram features for decision tree-based fault diagnosis of monoblock centrifugal pump.

N. R. Sakthivel, V. Indira, Binoy B. Nair, V. Sugumaran

Int. J. Granul. Comput. Rough Sets Intell. Syst., 2011

Decision support system using artificial immune recognition system for fault classification of centrifugal pump.

N. R. Sakthivel, Binoy B. Nair, V. Sugumaran, Rajakumar S. Rai

Int. J. Data Anal. Tech. Strateg., 2011

Wavelet decomposition and support vector machine for fault diagnosis of monoblock centrifugal pump.

V. Muralidharan, V. Sugumaran, N. R. Sakthivel

Int. J. Data Anal. Tech. Strateg., 2011

Determination of sample size using power analysis and optimum bin size of histogram features.

V. Indira, R. Vasanthakumari, N. R. Sakthivel, V. Sugumaran

Int. J. Data Anal. Tech. Strateg., 2011

Fault diagnosis of roller bearing using fuzzy classifier and histogram features with focus on automatic rule learning.

V. Sugumaran, K. I. Ramachandran

Expert Syst. Appl., 2011

Effect of number of features on classification of roller bearing faults using SVM and PSVM.

V. Sugumaran, K. I. Ramachandran

Expert Syst. Appl., 2011

Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine.

M. Saimurugan, K. I. Ramachandran, V. Sugumaran, N. R. Sakthivel

Expert Syst. Appl., 2011

Machine learning approach for automated visual inspection of machine components.

S. Ravikumar, K. I. Ramachandran, V. Sugumaran

Expert Syst. Appl., 2011

A method for calculation of optimum data size and bin size of histogram features in fault diagnosis of mono-block centrifugal pump.

V. Indira, R. Vasanthakumari, N. R. Sakthivel, V. Sugumaran

Expert Syst. Appl., 2011

Effect of SVM kernel functions on classification of vibration signals of a single point cutting tool.

M. Elangovan, V. Sugumaran, K. I. Ramachandran, S. Ravikumar

Expert Syst. Appl., 2011

2010

Application of Support Vector Machine (SVM) and Proximal Support Vector Machine (PSVM) for fault classification of monoblock centrifugal pump.

N. R. Sakthivel, V. Sugumaran, Binoy B. Nair

Int. J. Data Anal. Tech. Strateg., 2010

Vibration based fault diagnosis of monoblock centrifugal pump using decision tree.

N. R. Sakthivel, V. Sugumaran, S. Babu Devasenapati

Expert Syst. Appl., 2010

Precise wavelet for current signature in 3phi IM.

S. Radhika, G. R. Sabareesh, G. Jagadanand, V. Sugumaran

Expert Syst. Appl., 2010

Minimum sample size determination of vibration signals in machine learning approach to fault diagnosis using power analysis.

V. Indira, R. Vasanthakumari, V. Sugumaran

Expert Syst. Appl., 2010

Studies on Bayes classifier for condition monitoring of single point carbide tipped tool based on statistical and histogram features.

M. Elangovan, K. I. Ramachandran, V. Sugumaran

Expert Syst. Appl., 2010

Misfire identification in a four-stroke four-cylinder petrol engine using decision tree.

S. Babu Devasenapati, V. Sugumaran, K. I. Ramachandran

Expert Syst. Appl., 2010

2009

Safety analysis on a vibrating prismatic body: A data-mining approach.

V. Sugumaran, R. Ajith Kumar, B. H. Lakshmana Gowda, Chang Hyun Sohn

Expert Syst. Appl., 2009

2008

Fault diagnostics of roller bearing using kernel based neighborhood score multi-class support vector machine.

V. Sugumaran, G. R. Sabareesh, K. I. Ramachandran

Expert Syst. Appl., 2008