P. Krishnakumar

发表

Establishing Statistical Correlation Between Sensor Signature Features and Lubricant Solid Particle Contamination in a Spur Gearbox

M. Saimurugan, K. Rameshkumar, R. Sriram, 2022, IEEE Access.

Finite element simulation of effect of residual stresses during orthogonal machining using ALE approach

K. I. Ramachandran, K. Marimuthu, K. Rameshkumar, 2013 .

Finite Element Modelling and Residual Stress Prediction in End Milling of Ti6Al4Valloy

K. I. Ramachandran, P. Vijay, P. Krishnakumar, 2016 .

Chatter Prediction in High Speed Machining of Titanium Alloy (Ti-6Al-4V) using Machine Learning Techniques

Koshy Zacharia, P. Krishnakumar, P. Krishnakumar, 2020 .

Tool Wear Condition Prediction Using Vibration Signals in High Speed Machining (HSM) of Titanium (Ti-6Al-4V) Alloy

K. I. Ramachandran, K. Rameshkumar, K. I. Ramachandran, 2015 .

Machine learning based tool condition classification using acoustic emission and vibration data in high speed milling process using wavelet features

K. I. Ramachandran, K. Rameshkumar, P. Krishnakumar, 2018, Intell. Decis. Technol..

Acoustic Emission-Based Tool Condition Classification in a Precision High-Speed Machining of Titanium Alloy: A Machine Learning Approach

K. I. Ramachandran, K. Rameshkumar, P. Krishnakumar, 2018, Int. J. Comput. Intell. Appl..

Fault Diagnosis of Automobile Gearbox Based on Machine Learning Techniques

K. I. Ramachandran, M. Saimurugan, P. Krishnakumar, 2014 .

Machine Learning Approach for Predicting the Solid Particle Lubricant Contamination in a Spherical Roller Bearing

P. Krishnakumar, K. Rameshkumar, Kaviarasu Nataraj, 2024, IEEE Access.