Year : 2020
Tool condition monitoring techniques in milling process-a review
Cite this Research Publication : Mohanraj, T., Shankar, S., Rajasekar, R., Sakthivel, N.R., Pramanik, A., “Tool condition monitoring techniques in milling process-a review”, Journal of Materials Research and Technology, Volume 9, Issue 1(link is external), Pages 1032-1042, DOI: 10.1016/j.jmrt.2019.10.031, IF:5.289, February 2020
Publisher : Journal of Materials Research and Technology
Year : 2020
Tool condition monitoring techniques in milling process — a review
Cite this Research Publication :
T. Mohanraj, Shankar, S., Rajasekar, R., Dr. Sakthivel N.R., and Pramanik, A., “Tool condition monitoring techniques in milling process — a review”, Journal of Materials Research and Technology, vol. 9, pp. 1032 - 1042, 2020.
Publisher : Journal of Materials Research and Technology
Year : 2019
Multi-attribute decision-making approach for Aegle marmelos pyrolysis process using TOPSIS and Grey Relational Analysis: Assessment of engine emissions through novel Infrared thermography
Cite this Research Publication :
P. Baranitharan, Ramesh, K., and Sakthivel R., “Multi-attribute decision-making approach for Aegle marmelos pyrolysis process using TOPSIS and Grey Relational Analysis: Assessment of engine emissions through novel Infrared thermography”, Journal of Cleaner Production Scopus (Impact factor: 7.246)., vol. 234, pp. 315-328, 2019.
Publisher : Journal of Cleaner Production Scopus (Impact factor: 7.246)
Year : 2017
Clustering stock price time series data to generate stock trading recommendations: An empirical study
Cite this Research Publication :
Dr. Binoy B. Nair, Kumar, P. K. Saravana, Dr. Sakthivel N.R., and Vipin, U., “Clustering stock price time series data to generate stock trading recommendations: An empirical study”, Expert Systems with Applications, vol. 70, pp. 20 - 36, 2017.
Publisher : Expert Systems with Applications
Year : 2017
Chatter prediction in boring process using machine learning technique
Cite this Research Publication :
S. Saravanamurugan, Thiyagu, S., Dr. Sakthivel N.R., and Nair, B. B., “Chatter Prediction in Boring Process using Machine Learning Technique”, International Journal of Manufacturing Research, vol. 12, no. 4, pp. 405-422, 2017.
Publisher : International Journal of Manufacturing Research,
Year : 2016
Effect of kernel function in support vector machine for the fault diagnosis of pump
Cite this Research Publication :
Dr. Sakthivel N.R., Saravanamurugan, S., Dr. Binoy B. Nair, Elangovan, M., and Sugumaran, V., “Effect of Kernel Function in Support Vector Machine for the Fault Diagnosis of Pump”, Journal of Engineering Science and Technology, vol. 11, pp. 826-838, 2016.
Publisher : Journal of Engineering Science and Technology
Year : 2014
Fault Diagnosis of Monoblock Centrifugal Pump Using Stationary Wavelet Features and Bayes Algorithm
Cite this Research Publication :
V. Muralidharan, Sugumaran, V., Indira, V., and Dr. Sakthivel N.R., “Fault Diagnosis of Monoblock Centrifugal Pump Using Stationary Wavelet Features and Bayes Algorithm”, Asian Journal of Science and Applied Technology, vol. 17, pp. 152 - 157, 2014.
Publisher : Asian Journal of Science and Applied Technology
Year : 2014
Comparison of Dimensionality Reduction Techniques for the Fault Diagnosis of Mono Block Centrifugal Pump Using Vibration Signals
Cite this Research Publication :
Dr. Sakthivel N.R., Dr. Binoy B. Nair, Dr. Elangovan M., Sugumaran, V., and Saravanamurugan, S., “Comparison of Dimensionality Reduction Techniques for the Fault Diagnosis of Mono Block Centrifugal Pump Using Vibration Signals”, Engineering Science and Technology, an International Journal, vol. 17, pp. 30 - 38, 2014.
Publisher : Engineering Science and Technology
Year : 2012
Soft computing approach to fault diagnosis of centrifugal pump
Cite this Research Publication :
Dr. Sakthivel N.R., Dr. Binoy B. Nair, and Sugumaran, V., “Soft computing approach to fault diagnosis of centrifugal pump”, Applied Soft Computing, vol. 12, pp. 1574 - 1581, 2012.
Publisher : Applied Soft Computing
Year : 2012
Automatic rule learning using roughset for fuzzy classifier in fault categorization of mono-block centrifugal pump
Cite this Research Publication : Dr. Sakthivel N.R., Sugumaran, V., and Dr. Binoy B. Nair, “Automatic rule learning using roughset for fuzzy classifier in fault categorization of mono-block centrifugal pump”, Applied Soft Computing, vol. 12, no. 1, pp. 196 - 203, 2012
Publisher : Applied Soft Computing
Year : 2012
Application of standalone system and hybrid system for fault diagnosis of centrifugal pump using time domain signals and statistical features
Cite this Research Publication :
Dr. Sakthivel N.R., Dr. Binoy B. Nair, V., S., and Roy, R., “Application of standalone system and hybrid system for fault diagnosis of centrifugal pump using time domain signals and statistical features”, International Journal of Data Mining Modelling and Management, vol. 4, no. 1, pp. 74 - 104, 2012.
Publisher : International Journal of Data Mining, Modelling and Management
Year : 2012
Application of Stand Alone System and hybrid System for Fault Diagnosis of Centrifugal Pump using time domain features and Statistical Features
Cite this Research Publication :
S. N.R, R.S, R., V, S., and B.Nair, B., “Application of Stand Alone System and hybrid System for Fault Diagnosis of Centrifugal Pump using time domain features and Statistical Features”, International Journal of Data Mining,Modelling and Management, vol. 4, no. 1, pp. 74-104, 2012.
Publisher : International Journal of Data Mining,Modelling and Management
Year : 2011
Wavelet decomposition and support vector machine for fault diagnosis of monoblock centrifugal pump
Cite this Research Publication :
Va Muralidharan, Sugumaran, Va, and Dr. Sakthivel N.R., “Wavelet decomposition and support vector machine for fault diagnosis of monoblock centrifugal pump”, International Journal of Data Analysis Techniques and Strategies, vol. 3, pp. 159-177, 2011.
Publisher : International Journal of Data Analysis Techniques and Strategies
Year : 2011
Use of histogram features for decision tree-based fault diagnosis of monoblock centrifugal pump
Cite this Research Publication :
Dr. Sakthivel N.R., Indira, V., Dr. Binoy B. Nair, and Sugumaran, V., “Use of histogram features for decision tree-based fault diagnosis of monoblock centrifugal pump”, International Journal of Granular Computing, Rough Sets and Intelligent Systems, vol. 2, pp. 23-36, 2011.
Publisher : International Journal of Granular Computing, Rough Sets and Intelligent Systems
Year : 2011
Predicting stock market trends using hybrid ant-colony-based data mining algorithms: an empirical validation on the Bombay Stock Exchange
Cite this Research Publication :
Dr. Binoy B. Nair, Mohandas, V. P., and Dr. Sakthivel N.R., “Predicting stock market trends using hybrid ant-colony-based data mining algorithms: an empirical validation on the Bombay Stock Exchange”, International Journal of Business Intelligence and Data Mining, vol. 6, pp. 362-381, 2011.
Publisher : International Journal of Business Intelligence and Data Mining
Year : 2011
Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine
Cite this Research Publication :
Dr. Saimurugan M., Dr. K. I. Ramachandran, Sugumaran, V., and Dr. Sakthivel N.R., “Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine”, Expert Systems with Applications, vol. 38, pp. 3819-3826, 2011.
Publisher : Expert Systems with Applications
Year : 2011
A method for calculation of optimum data size and bin size of histogram features in fault diagnosis of mono-block centrifugal pump
Cite this Research Publication :
Va Indira, Vasanthakumari, Rb, Dr. Sakthivel N.R., and Sugumaran, Vd, “A method for calculation of optimum data size and bin size of histogram features in fault diagnosis of mono-block centrifugal pump”, Expert Systems with Applications, vol. 38, pp. 7708-7717, 2011.
Publisher : Expert Systems with Applications
Year : 2011
Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm
Cite this Research Publication :
Dr. Elangovan M., S Devasenapati, B., Dr. Sakthivel N.R., and Dr. K. I. Ramachandran, “Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm”, Expert Systems with Applications, vol. 38, no. 4, pp. 4450–4459, 2011.
Publisher : Expert Systems with Applications
Year : 2011
Determination of sample size using power analysis and optimum bin size of histogram features
Cite this Research Publication :
Vab Indira, Vasanthakumari, Rc, Dr. Sakthivel N.R., and Sugumaran, Ve, “Determination of sample size using power analysis and optimum bin size of histogram features”, International Journal of Data Analysis Techniques and Strategies, vol. 3, pp. 21-41, 2011.
Publisher : International Journal of Data Analysis Techniques and Strategies
Year : 2011
Decision support system using artificial immune recognition system for fault classification of centrifugal pump
Cite this Research Publication :
Dr. Sakthivel N.R., Dr. Binoy B. Nair, Sugumaran, V., and Rai, R. S., “Decision support system using artificial immune recognition system for fault classification of centrifugal pump”, International Journal of Data Analysis Techniques and Strategies, vol. 3, pp. 66-84, 2011.
Publisher : International Journal of Data Analysis Techniques and Strategies
Year : 2010
A Method for Minimum Sample Size Calculation for a Classification Problem in Fault Diagnosis of Centrifugal Pump
Cite this Research Publication :
V. Indira, Vasanthakumari, R., Dr. Sakthivel N.R., and Sugumaran, V., “A Method for Minimum Sample Size Calculation for a Classification Problem in Fault Diagnosis of Centrifugal Pump”, International Journal of Statistics and Systems Research India Publications, vol. 5, pp. 183-202, 2010.
Publisher : International Journal of Statistics and Systems Research India Publications
Year : 2010
Vibration based Fault Diagnosis of Monoblock Centrifugal Pump using Decision Tree
Cite this Research Publication :
Dr. Sakthivel N.R., Sugumaran, V., and Babudevasenapati, S., “Vibration based Fault Diagnosis of Monoblock Centrifugal Pump using Decision Tree”, Expert Systems with Applications, vol. 37, pp. 4040 - 4049, 2010.
Publisher : Expert Systems with Applications
Year : 2010
A genetic algorithm optimized decision tree-SVM based stock market trend prediction system
Cite this Research Publication :
Dr. Binoy B. Nair, Mohandas, V. P., and Dr. Sakthivel N.R., “A genetic algorithm optimized decision tree-SVM based stock market trend prediction system”, International Journal on Computer Science and Engineering, vol. 2, pp. 2981–2988, 2010.
Publisher : International Journal on Computer Science and Engineering
Year : 2010
A decision tree—rough set hybrid system for stock market trend prediction
Cite this Research Publication :
Dr. Binoy B. Nair, Mohandas, V. P., and Dr. Sakthivel N.R., “A decision tree—rough set hybrid system for stock market trend prediction”, International Journal of Computer Applications, vol. 6, pp. 1–6, 2010.
Publisher : International Journal of Computer Applications, International Journal of Computer Applications
Year : 2010
Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump
Cite this Research Publication :
Dr. Sakthivel N.R., Sugumaran, V., and Dr. Binoy B. Nair, “Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump”, Mechanical Systems and Signal Processing, vol. 24, pp. 1887 - 1906, 2010.
Publisher : Mechanical Systems and Signal Processing
Year : 2010
Application of Support Vector Machine (SVM) and Proximal Support Vector Machine (PSVM) for fault classification of monoblock centrifugal pump
Cite this Research Publication :
Dr. Sakthivel N.R., Sugumaran, V., and Dr. Binoy B. Nair, “Application of Support Vector Machine (SVM) and Proximal Support Vector Machine (PSVM) for fault classification of monoblock centrifugal pump”, International Journal of Data Analysis Techniques and Strategies, vol. 2, pp. 38-61, 2010.
Publisher : International Journal of Data Analysis Techniques and Strategies