P. Srinivasa Pai

发表

Machining of Magnesium Alloys:A Review

P. Srinivasa Pai, Bhaskara P. Achar, 2017 .

Neural Network Modeling and Prediction of Surface Roughness in Machining Aluminum Alloys

Ning Fang, P. Srinivasa Pai, N. Edwards, 2016 .

Fuzzy Logic Based Prediction of Performance and Emission Parameters of a LPG-Diesel Dual Fuel Engine

P. Srinivasa Pai, A Adarsh Rai, N. Satheesh Kumar, 2012 .

An effective sensor for tool wear monitoring in face milling: Acoustic emission

P. Srinivasa Pai, Mathew T. Mathew, Luiz A. Rocha, 2008 .

Wind Power Optimization: A Comparison of Meta-Heuristic Algorithms

P. Srinivasa Pai, Rashmi P. Shetty, A. Sathyabhama, 2018 .

Vibration signal analysis for monitoring tool wear in high speed turning of Ti-6Al-4V

P. Srinivasa Pai, Grynal D’ Mello, 2015 .

Success Story of Industry Institution Collaboration for Enhancing Teaching–Learning Experience

Niranjan N. Chiplunkar, P. Srinivasa Pai, 2015 .

Selection of Mother Wavelet for Wavelet Analysis of Vibration Signals in Machining

P. Srinivasa Pai, Grynal D’Mello, Anil Prashanth Rodrigues, 2016 .

Significance of Tribocorrosion in Biomedical Applications: Overview and Current Status

P. Srinivasa Pai, Markus A. Wimmer, Alfons Fischer, 2009 .

Surface roughness modeling in high speed turning of Ti-6Al-4V – Artificial Neural Network approach

P. Srinivasa Pai, Grynal D'Mello, Rashmi P. Shetty, 2017 .

Comparison Of Modeling Techniques To Be Used As An Objective Function In Optimization Techniques

P. Srinivasa Pai, A Adarsh Rai, B. R. Shrinivasa Rao, 2018, IOP Conference Series: Materials Science and Engineering.

Prediction of built-up edge formation in machining with round edge and sharp tools using a neural network approach

P. Srinivasa Pai, N. Fang, N. Edwards, 2010, Int. J. Comput. Integr. Manuf..

Comparison of modeling methods for wind power prediction: a critical study

P. Srinivasa Pai, Rashmi P. Shetty, A. Sathyabhama, 2020 .

A method of using Hoelder exponents to monitor tool-edge wear in high-speed finish machining

Ning Fang, P. Srinivasa Pai, N. Edwards, 2014 .

Classification of rolling element bearing fault using singular value

P. Srinivasa Pai, H. S. Kumar, S SriramN., 2019, Journal of Quality in Maintenance Engineering.

Application of Optimization Technique for Performance and Emission Characteristics of a CNG-Diesel Dual Fuel Engine: A Comparison Study

P. Srinivasa Pai, A Adarsh Rai, B. R. Shrinivasa Rao, 2017 .

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

Ning Fang, P. Srinivasa Pai, S. Mosquea, 2011 .

EFFICIENT MODELLING AND SIMULATION OF WIND POWER USING ONLINE SEQUENTIAL LEARNING ALGORITHM FOR FEED FORWARD NETWORKS

P. Srinivasa Pai, Rashmi P. Shetty, A. Sathyabhama, 2019 .

Discrete Wavelet Transform for Fault Diagnosis of Rolling Element Bearing

P. Srinivasa Pai, N S Sriram, G S Vijay, 2011 .

Comparison of wavelet based denoising schemes for gear condition monitoring: An Artificial Neural Network based Approach

P. Srinivasa Pai, N S Sriram, Rounaq Ahmed, 2018 .

Comparison of denoising schemes and dimensionality reduction techniques for fault diagnosis of rolling element bearing using wavelet transform

P. Srinivasa Pai, N. S. Sriram, H. S. Kumar, 2016, Int. J. Manuf. Res..

Evaluation of Effectiveness of Wavelet Based Denoising Schemes Using ANN and SVM for Bearing Condition Classification

P. Srinivasa Pai, Raj B. K. N. Rao, N. S. Sriram, 2012, Comput. Intell. Neurosci..

Effective Use of Information and Communication Technology in Enhancing Teaching-Learning Outcomes:Some Thoughts

P. Srinivasa Pai, B. R. Shrinivasa Rao, K. Subrahmanya Bhat, 2016 .

Prediction of performance and emission characteristics in a biodiesel engine using WCO ester: a comparative study of neural networks

Shiva Kumar, P. Srinivasa Pai, B. R. Shrinivasa Rao, 2016, Soft Comput..

Some thoughts on neural network modelling of microabrasion–corrosion processes

Margaret Stack, P. Srinivasa Pai, Mathew T. Mathew, 2008 .

Radial-Basis-Function-Network-Based Prediction of Performance and Emission Characteristics in a Bio Diesel Engine Run on WCO Ester

Shiva Kumar, P. Srinivasa Pai, B. R. Shrinivasa Rao, 2012, Adv. Artif. Intell..

Multidimensional signal processing and modeling with neural networks in metal machining: Cutting forces, vibrations, and surface roughness

P. Srinivasa Pai, N. Edwards, N. Fang, 2016, 2016 8th IEEE International Conference on Communication Software and Networks (ICCSN).

Acoustic emission analysis for tool wear monitoring in face milling

P. Srinivasa Pai, P. K. Ramakrishna Rao, P. Pai, 2002 .

A comparative study of sharp and round-edge tools in machining with built-up edge formation: cutting forces, cutting vibrations, and neural network modeling

Ning Fang, P. Srinivasa Pai, S. Mosquea, 2011 .

Tool wear estimation using resource allocation network

T. N. Nagabhushana, P. Srinivasa Pai, P. K. Ramakrishna Rao, 2001 .

Multiscale Slope Feature Extraction for Gear and Bearing Fault Diagnosis Using Wavelet Transform

P. Srinivasa Pai, N S Sriram, G S Vijay, 2014 .

Tool-Edge Wear and Wavelet Packet Transform Analysis in High-Speed Machining of Inconel 718

P. Srinivasa Pai, N. Edwards, Ning Fang, 2012 .

The effect of built-up edge on the cutting vibrations in machining 2024-T351 aluminum alloy

P. Srinivasa Pai, Ning Fang, S. Mosquea, 2010 .

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 timings

P. Srinivasa Pai, B. R. Shrinivasa Rao, Shivakumar, 2011 .