P. Krishnakumar

Fault Diagnosis of Automobile Gearbox Based on Machine Learning Techniques

M. Saimurugan, P. Krishnakumar, K.I. Ramachandran · Procedia Engineering · 2014 · 121 citations · Full text

Engineering, Automotive Engineering, Mechanical Engineering +17

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

P. Krishnakumar, K. Rameshkumar, K.I. Ramachandran · Procedia Computer Science · 2015 · 92 citations · Full text

Engineering, Manufacturing Engineering, Mechanical Engineering +17

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

P. Krishnakumar, K. Rameshkumar, K.I. Ramachandran · Intelligent Decision Technologies · 2018 · 58 citations

Engineering, Manufacturing Engineering, Mechanical Engineering +17

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

P. Krishnakumar, K. Rameshkumar, K.I. Ramachandran · International Journal of Computational Intelligence and Applications · 2018 · 36 citations

Engineering, Manufacturing Engineering, Mechanical Engineering +14

Feature level fusion of vibration and acoustic emission signals in tool condition monitoring using machine learning classifiers

P. Krishnakumar, K. Rameshkumar, K.I. Ramachandran · International Journal of Prognostics and Health Management · 2020 · 31 citations · Full text

Computing, Industrial Engineering, Manufacturing Engineering +17