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N.R.Sakthivel
N.R.Sakthivel
Associate professor, Mechanical Engineering, Amrita Vishwa Vidyapeetham
Verified email at cb.amrita.edu
Title
Cited by
Cited by
Year
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
4382017
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
3432020
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
2902010
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
2542011
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
1182011
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
1122014
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
1112010
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
1042010
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
922015
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
662010
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
642017
Soft computing approach to fault diagnosis of centrifugal pump
NR Sakthivel, BB Nair, V Sugumaran
Applied Soft Computing 12 (5), 1574-1581, 2012
632012
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
552012
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
552010
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
472021
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
442017
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
352023
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
322011
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
312017
Transfer learning based fault diagnosis of automobile dry clutch system
G Chakrapani, V Sugumaran
Engineering Applications of Artificial Intelligence 117, 105522, 2023
262023
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