Significance of tribocorrosion in biomedical applications: overview and current status MT Mathew, P Srinivasa Pai, R Pourzal, A Fischer, MA Wimmer Advances in tribology 2009, 2009 | 245 | 2009 |
Artificial neural network based prediction of performance and emission characteristics of a variable compression ratio CI engine using WCO as a biodiesel at different injection … PS Pai, BRS Rao Applied Energy 88 (7), 2344-2354, 2011 | 222 | 2011 |
Effect of tool edge wear on the cutting forces and vibrations in high-speed finish machining of Inconel 718: an experimental study and wavelet transform analysis N Fang, PS Pai, S Mosquea The International Journal of Advanced Manufacturing Technology 52, 65-77, 2011 | 94 | 2011 |
Acoustic emission analysis for tool wear monitoring in face milling PS Pai, PKR Rao International Journal of Production Research 40 (5), 1081-1093, 2002 | 83 | 2002 |
ANN based evaluation of performance of wavelet transform for condition monitoring of rolling element bearing HS Kumar, PS Pai, NS Sriram, GS Vijay Procedia engineering 64, 805-814, 2013 | 71 | 2013 |
Failure diagnosis and prognosis of rolling-element bearings using Artificial Neural Networks: A critical overview BKN Rao, PS Pai, TN Nagabhushana Journal of Physics: Conference Series 364 (1), 012023, 2012 | 55 | 2012 |
An effective sensor for tool wear monitoring in face milling: Acoustic emission MT Mathew, PS Pai, LA Rocha Sadhana 33, 227-233, 2008 | 53 | 2008 |
The effect of built-up edge on the cutting vibrations in machining 2024-T351 aluminum alloy N Fang, PS Pai, S Mosquea The International Journal of Advanced Manufacturing Technology 49, 63-71, 2010 | 47 | 2010 |
Some thoughts on neural network modelling of microabrasion–corrosion processes PS Pai, MT Mathew, MM Stack, LA Rocha Tribology International 41 (7), 672-681, 2008 | 37 | 2008 |
Selection of mother wavelet for wavelet analysis of vibration signals in machining AP Rodrigues, G D’Mello, P Srinivasa Pai Journal of Mechanical Engineering and Automation 6 (5A), 81-85, 2016 | 33 | 2016 |
Flank wear estimation in face milling based on radial basis function neural networks P Srinivasa, TN Nagabhushana, PK Ramakrishna Rao The International Journal of Advanced Manufacturing Technology 20, 241-247, 2002 | 32 | 2002 |
Tool wear estimation using resource allocation network PS Pai, TN Nagabhushana, PKR Rao International Journal of Machine Tools and Manufacture 41 (5), 673-685, 2001 | 29 | 2001 |
Evaluation of effectiveness of wavelet based denoising schemes using ANN and SVM for bearing condition classification SG Vijay, SH Kumar, PP Srinivasa, SN Sriram, RBKN Rao Computational intelligence and neuroscience 2012, 16-16, 2012 | 28 | 2012 |
Performance and emission characteristics of a 4 stroke CI engine operated on honge methyl ester using artificial neural network SP Shivakumar, R Shrinivasa, BS Samaga Journal of Engineering and Applied Sciences 5, 6-8, 2010 | 28 | 2010 |
Rolling element bearing fault diagnostics: Development of health index HS Kumar, SP Pai, NS Sriram, GS Vijay Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2017 | 27 | 2017 |
Radial basis function neural network based comparison of dimensionality reduction techniques for effective bearing diagnostics V GS, SP Pai, NS Sriram, RBKN Rao Proceedings of the Institution of Mechanical Engineers, Part J: Journal of …, 2013 | 26 | 2013 |
Wavelet transform for bearing condition monitoring and fault diagnosis: A review H Kumar, SP Pai, G Vijay, R Rao Int. J. COMADEM 17 (1), 9-23, 2014 | 23 | 2014 |
A comparative study of sharp and round-edge tools in machining with built-up edge formation: cutting forces, cutting vibrations, and neural network modeling N Fang, PS Pai, S Mosquea The International Journal of Advanced Manufacturing Technology 53, 899-910, 2011 | 22 | 2011 |
TOOL CONDITION MONITORING USING ACOUSTIC EMISSION, SURFACE ROUGHNESS AND GROWING CELL STRUCTURES NEURAL NETWORK S Pai, TN Nagabhushana, RBKN Rao Machining Science and Technology 16 (4), 653-676, 2012 | 21 | 2012 |
Selection of mother wavelet for effective wavelet transform of bearing vibration signals HS Kumar, P Srinivasa Pai, NS Sriram, GS Vijay Advanced Materials Research 1039, 169-176, 2014 | 19 | 2014 |