| Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification C Lu, Z Wang, B Zhou Advanced Engineering Informatics 32, 139-151, 2017 | 443 | 2017 |
| Tool condition monitoring techniques in milling process—A review T Mohanraj, S Shankar, R Rajasekar, NR Sakthivel, A Pramanik Journal of Materials Research and Technology 9 (1), 1032-1042, 2020 | 349 | 2020 |
| 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 | 292 | 2010 |
| 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 | 255 | 2011 |
| Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm M Elangovan, SB Devasenapati, NR Sakthivel, KI Ramachandran Expert Systems with Applications 38 (4), 4450-4459, 2011 | 118 | 2011 |
| Comparison of dimensionality reduction techniques for the fault diagnosis of mono block centrifugal pump using vibration signals NR Sakthivel, BB Nair, M Elangovan, V Sugumaran, S Saravanmurugan Engineering Science and Technology, an International Journal 17 (1), 30-38, 2014 | 113 | 2014 |
| A decision tree-rough set hybrid system for stock market trend prediction BB Nair, VP Mohandas, NR Sakthivel International Journal of Computer Applications 6 (9), 1-6, 2010 | 111 | 2010 |
| Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump NR Sakthivel, V Sugumaran, BB Nair Mechanical systems and signal processing 24 (6), 1887-1906, 2010 | 105 | 2010 |
| Machine Learning Approach to the Prediction of Surface Roughness using Statistical Features of Vibration Signal Acquired in Turning VS M. Elangovan, N.R.Sakthivel, S.Saravanamurugan, Binoy.B.Nair Procedia Computer Science ( 2015 ) 50, 282 – 288, 2015 | 94 | 2015 |
| Application of support vector machine (SVM) and proximal support vector machine (PSVM) for fault classification of monoblock centrifugal pump NR Sakthivel, V Sugumaran, BB Nair International Journal of Data Analysis Techniques and Strategies 2 (1), 38-61, 2010 | 66 | 2010 |
| Clustering stock price time series data to generate stock trading recommendations: An empirical study BB Nair, PKS Kumar, NR Sakthivel, U Vipin Expert Systems with Applications 70, 20-36, 2017 | 65 | 2017 |
| Soft computing approach to fault diagnosis of centrifugal pump NR Sakthivel, BB Nair, V Sugumaran Applied Soft Computing 12 (5), 1574-1581, 2012 | 64 | 2012 |
| A genetic algorithm optimized decision tree-SVM based stock market trend prediction system BB Nair, VP Mohandas, NR Sakthivel International journal on computer science and engineering 2 (9), 2981-2988, 2010 | 56 | 2010 |
| Automatic rule learning using roughset for fuzzy classifier in fault categorization of mono-block centrifugal pump NR Sakthivel, V Sugumaran, BB Nair Applied Soft Computing 12 (1), 196-203, 2012 | 55 | 2012 |
| A fault diagnosis framework for centrifugal pumps by scalogram-based imaging and deep learning MJ Hasan, A Rai, Z Ahmad, JM Kim IEEE Access 9, 58052-58066, 2021 | 47 | 2021 |
| Experimental time-domain vibration-based fault diagnosis of centrifugal pumps using support vector machine JS Rapur, R Tiwari ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2017 | 44 | 2017 |
| Deep learning for enhanced fault diagnosis of monoblock centrifugal pumps: Spectrogram-based analysis P Chennai Viswanathan, SN Venkatesh, S Dhanasekaran, TK Mahanta, ... Machines 11 (9), 874, 2023 | 36 | 2023 |
| Use of histogram features for decision tree-based fault diagnosis of monoblock centrifugal pump NR Sakthivel, V Indira, BB Nair, V Sugumaran International Journal of Granular Computing, Rough Sets and Intelligent …, 2011 | 32 | 2011 |
| Chatter prediction in boring process using machine learning technique S Saravanamurugan, S Thiyagu, NR Sakthivel, BB Nair International Journal of Manufacturing Research 12 (4), 405-422, 2017 | 31 | 2017 |
| Transfer learning based fault diagnosis of automobile dry clutch system G Chakrapani, V Sugumaran Engineering Applications of Artificial Intelligence 117, 105522, 2023 | 27 | 2023 |
Dr V. SugumaranVIT University - Chennai CampusVerified email at vit.ac.in
