| Fault diagnosis of automobile gearbox based on machine learning techniques T Praveenkumar, M Saimurugan, P Krishnakumar, KI Ramachandran Procedia Engineering 97, 2092-2098, 2014 | 127 | 2014 |
| Tool wear condition prediction using vibration signals in high speed machining (HSM) of titanium (Ti-6Al-4 V) alloy P Krishnakumar, K Rameshkumar, KI Ramachandran Procedia Computer Science 50, 270-275, 2015 | 96 | 2015 |
| Machine learning based tool condition classification using acoustic emission and vibration data in high speed milling process using wavelet features P Krishnakumar, K Rameshkumar, KI Ramachandran Intelligent Decision Technologies 12 (2), 265-282, 2018 | 43 | 2018 |
| Feature level fusion of vibration and acoustic emission signals in tool condition monitoring using machine learning classifiers P Krishnakumar, K Rameshkumar, KI Ramachandran International Journal of Prognostics and Health Management 9 (1), 2018 | 36 | 2018 |
| Acoustic emission-based tool condition classification in a precision high-speed machining of titanium alloy: a machine learning approach P Krishnakumar, K Rameshkumar, KI Ramachandran International Journal of Computational Intelligence and Applications 17 (03 …, 2018 | 29 | 2018 |
| Finite element simulation of effect of residual stresses during orthogonal machining using ALE approach P Krishnakumar, KP Marimuthu, K Rameshkumar, KI Ramachandran International Journal of Machining and Machinability of Materials 14 (3 …, 2013 | 29 | 2013 |
| Chatter prediction in high speed machining of titanium alloy (Ti-6Al-4V) using machine learning techniques K Zacharia, P Krishnakumar Materials today: proceedings 24, 350-358, 2020 | 15 | 2020 |
| Hidden Markov modelling of high-speed milling (HSM) process using acoustic emission (AE) signature for predicting tool conditions P Sachin Krishnan, K Rameshkumar, P Krishnakumar Advances in Materials and Manufacturing Engineering: Proceedings of ICAMME …, 2020 | 10 | 2020 |
| Establishing statistical correlation between sensor signature features and lubricant solid particle contamination in a spur gearbox K Rameshkumar, R Sriram, M Saimurugan, P Krishnakumar IEEE Access 10, 106230-106247, 2022 | 6 | 2022 |
| A study on the classification ability of decision tree and support vector machine in gearbox fault detection M Saimurugan, T Praveenkumar, P Krishnakumar, KI Ramachandran Applied Mechanics and Materials 813, 1058-1062, 2015 | 5 | 2015 |
| Finite Element Modelling and Residual Stress Prediction in End Milling of Ti6Al4Valloy P Krishnakumar, J Sripathi, P Vijay, KI Ramachandran IOP conference series: materials science and engineering 149 (1), 012154, 2016 | 4 | 2016 |
| Higher order block heuristics for 2D pallet loading problems with multiple box inputs SA Prasad, P Krishnakumar Materials Today: Proceedings 46, 4625-4633, 2021 | 3 | 2021 |
| Effect of water pressure and temperature on spherical float of level sensing auto drain valve S Sundararaj, P Krishnakumar, VR Anirudh, LC Shikhar, G Surendhar, ... Materials Today: Proceedings 49, 1490-1497, 2022 | 1 | 2022 |
| DEVELOPMENT OF IoT BASED SMART SENSING SYSTEM FOR THE DETECTION OF SOIL NUTRIENTS AND ENVIRONMENTAL CONDITION TOWARDS PRECISION AGRICULTURE JS VASANTH, K BALAJI, CS SUMATHI, P KRISHNAKUMAR | | |
