| Feature selection using decision tree and classification through proximal support vector machine for fault diagnostics of roller bearing V Sugumaran, V Muralidharan, KI Ramachandran Mechanical systems and signal processing 21 (2), 930-942, 2007 | 599 | 2007 |
| A comparative study of Naïve Bayes classifier and Bayes net classifier for fault diagnosis of monoblock centrifugal pump using wavelet analysis V Muralidharan, SV Applied Soft Computing 12 (8), 2023-2029, 2012 | 264 | 2012 |
| Feature extraction using wavelets and classification through decision tree algorithm for fault diagnosis of mono-block centrifugal pump V Muralidharan, VS Measurement 46 (1), 353-359, 2013 | 173 | 2013 |
| Fault diagnosis of monoblock centrifugal pump using SVM V Muralidharan, V Sugumaran, IV Engineering Science and Technology, an International Journal 17 (3), 152-157, 2014 | 139 | 2014 |
| Rough set based rule learning and fuzzy classification of wavelet features for fault diagnosis of monoblock centrifugal pump MV, V Sugumaran Measurement 46 (9), 3057-3063, 2013 | 101 | 2013 |
| Feature extraction using Discrete Wavelet Transform for fault classification of planetary gearbox–A comparative study SH Syed, V Muralidharan Applied Acoustics 188, 108572, 2022 | 38 | 2022 |
| Fault diagnosis of self-aligning troughing rollers in belt conveyor system using k-star algorithm S Ravikumar, H Kanagasabapathy, V Muralidharan Measurement 133, 341-349, 2019 | 37 | 2019 |
| Comparative analysis of fuzzy classifier and ANN with histogram features for defect detection and classification in planetary gearbox SS Hameed, V Muralidharan, BK Ane Applied Soft Computing 106, 107306, 2021 | 35 | 2021 |
| Selection of discrete wavelets for fault diagnosis of monoblock centrifugal pump using the J48 algorithm V, Muralidharan, V Sugumaran Applied Artificial Intelligence 27 (1), 1-19, 2013 | 33 | 2013 |
| Condition monitoring of Self aligning carrying idler (SAI) in belt-conveyor system using statistical features and decision tree algorithm V Muralidharan, S Ravikumar, H Kangasabapathy Measurement 58, 274-279, 2014 | 26 | 2014 |
| Wavelet decomposition and support vector machine for fault diagnosis of monoblock centrifugal pump V Muralidharan, V Sugumaran, NR Sakthivel International Journal of Data Analysis Techniques and Strategies 3 (2), 159-177, 2011 | 25 | 2011 |
| Fault diagnosis of spur gear system through decision tree algorithm using vibration signal V Gunasegaran, V Muralidharan Materials Today: Proceedings 22, 3232-3239, 2020 | 24 | 2020 |
| Histogram as features for fault detection of multi point cutting tool–A data driven approach D Pradeep kumar, V Muralidharan, S Ravikumar Applied Acoustics 186, 108456, 2022 | 18 | 2022 |
| Fault detection in single stage helical planetary gearbox using artificial neural networks (ANN) and decision tree with histogram features SS Hameed, V Muralidharan, M Kesavan SAE Technical Paper, 2019 | 14 | 2019 |
| Artificial neural network based classification for monoblock centrifugal pump using wavelet analysis V Muralidharan, V Sugumaran, P Shanmugam, K Sivanathan International journal of mechanical engineering 1, 28-37, 2010 | 14 | 2010 |
| Intelligent process selection for NTM-A neural network approach V Sugumaran, V Muralidharan, BK Hegde International Journal of Industrial Engineering Research and Development 1 …, 2010 | 14 | 2010 |
| Multi-component fault diagnosis of Self Aligning Troughing Roller (SATR) in belt conveyor system using decision tree: A statistical approach S Ravikumar, H Kanagasabapathy, V Muralidharan FME Transactions 48 (2), 364-371, 2020 | 13 | 2020 |
| A comparative study between Support Vector Machine (SVM) and Extreme Learning Machine (ELM) for fault detection in pumps V Muralidharan, V Sugumaran Indian Journal of Science and Technology, 2016 | 9 | 2016 |
| Fault diagnosis of self-aligning troughing rollers in a belt conveyor system using an artificial neural network and naive bayes algorithm S Ravikumar, S Kanagasabapathy, V Muralidharan, RS Srijith, ... Emerging Trends in Engineering, Science and Technology for Society, Energy …, 2018 | 6 | 2018 |
| Multi-point tool condition monitoring system: A comparative study KD Pradeep, V Muralidharan, HS Shaul FME Transactions 50 (1), 193-201, 2022 | 5 | 2022 |
Syed Shaul HameedB.S.Abdur Rahman Crescent Institute of Science and TechnologyVerified email at crescent.education
