| Histogram as features for fault detection of multi point cutting tool–A data driven approach DP Kumar, V Muralidharan, S Ravikumar Applied Acoustics 186, 108456, 2022 | 18 | 2022 |
| Multi-point tool condition monitoring system: A comparative study KD Pradeep, V Muralidharan, HS Shaul FME Transactions 50 (1), 193-201, 2022 | 5 | 2022 |
| Tool Condition Monitoring in Face Milling Process Using Decision Tree and Statistical Features of Vibration Signal PK Durairaj, M Vaithiyanathan SAE Technical Paper, 2019 | 5 | 2019 |
| Fault Classification using Fuzzy Logic in an Epicyclic Gearbox with Statistical Features SH Syed, V Muralidharan, P Kumar SAE Technical Paper, 2021 | 2 | 2021 |
| Effect of K-Nearest Neighbours (k-NN) in Classifying Planetary Gearbox Faults Using Statistical Features SH Syed, V Muralidharan, P Kumar SAE Technical Paper, 2022 | 1 | 2022 |
| Real-Time Condition Monitoring of Multi-Component High Torque Helical Gearbox in Coal Handling Belt Conveyor System Using Machine Learning–A Statistical Approach R Santhanam, S Syed, V Muralidharan, P Kumar SAE International Journal of Advances and Current Practices in Mobility 5 (4 …, 2023 | | 2023 |
| Fault Classification of Face Milling Tool Using Vibration Signals and Histogram Features–A Machine Learning Approach P Kumar, V Muralidharan, S Syed SAE Technical Paper, 2022 | | 2022 |
Dr. V. MuralidharanB.S. Abdur Rahman Crescent Institute of Science and TechnologyVerified email at crescent.education
