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 |
Evaluation of effectiveness of wavelet based denoising schemes using ANN and SVM for bearing condition classification RBKNR S G Vijay, SH Kumar, P Pai Srinivasa, SN Sriram Computational intelligence and neuroscience, 2012 | 28 | 2012 |
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 |
Wavelet Transform for Bearing Condition Monitoring and Fault Diagnosis: A Review HS Kumar, P Srinivasa Pai, GS Vijay, BKNR Raj COMADEM 17 (1), 9-23, 2014 | 27* | 2014 |
Use of empirical mode decomposition and K-nearest neighbour classifier for rolling element bearing fault diagnosis HS Kumar, SH Manjunath Materials Today: Proceedings 52, 796-801, 2022 | 25 | 2022 |
Fault diagnosis of rolling element bearing using continuous wavelet transform and K-nearest neighbour HS Kumar, G Upadhyaya Materials today: proceedings 92, 56-60, 2023 | 21 | 2023 |
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 |
Multiscale slope feature extraction for gear and bearing fault diagnosis using wavelet transform B Vishwash, PS Pai, NS Sriram, R Ahmed, HS Kumar, GS Vijay Procedia Materials Science 5, 1650-1659, 2014 | 17 | 2014 |
Comparison of denoising schemes and dimensionality reduction techniques for fault diagnosis of rolling element bearing using wavelet transform HS Kumar, PS Pai, NS Sriram, GS Vijay, MV Patil International Journal of Manufacturing Research 11 (3), 238-258, 2016 | 8 | 2016 |
Artificial Neural Network based Vibration Signal Analysis of Rotary Machines – Case Studies VGS Melwyn R. Castelino, , Kumar H.S., , Srinivasa Pai .P International Conference on Emerging Trends in Engineering (ICETE -2014 …, 2014 | 6* | 2014 |
Classification of rolling element bearing fault using singular value HS Kumar, PS Pai, SN S Journal of Quality in Maintenance Engineering 26 (2), 181-197, 2020 | 5 | 2020 |
Use of MEMS based Vibration Data for REB Fault Diagnosis Prashanth B, Dr. Kumar H. S, Dr. Srinivasa Pai P, Dr. Muralidhara International Journal of Engineering & Technology 7 ((3.34)), 714-718, 2018 | 3* | 2018 |
Rolling Element Bearing Condition Classification Using Hoelder Exponents HS Kumar, SP Pai, NS Sriram, GS Vijay NMAMIT Annual Research Journal 3, 43-48, 2013 | 2 | 2013 |
Support Vector Machine based bearing defect classification using wavelet denoised vibration signal GS Vijay, HS Kumar, P Srinivasa Pai, NS Sriram Annual Research Journal, NMAM Institute of Technology 2, 27-32, 2012 | 2 | 2012 |
Fault diagnosis of rolling element bearing through vibration signals using naïve bayes classifier P Sreejith, HS Kumar, M Jameel, F Ayoob, B Vishnu Advanced Science, Engineering and Medicine 10 (3-4), 480-484, 2018 | 1 | 2018 |
AI-Based Approach for Retail Sale Forecasting RK Kaushal, KKB Giri, HS Kumar, K Raina, D Choudhury, K Naikade 2023 International Conference on Self Sustainable Artificial Intelligence …, 2023 | | 2023 |
Health Index Development for Fault Diagnosis of Rolling Element Bearing HS Kumar, SP Pai, NS Sriram Design, Applications, and Maintenance of Cyber-Physical Systems, 112-143, 2021 | | 2021 |
Rolling element bearing health diagnosis–A comparative study of statistical features HS Kumar, U Gururaj, PP Srinivasa Materials Today: Proceedings 46, 2666-2672, 2021 | | 2021 |
Use of Micro-Electro Mechanical Sensors in Bearing Condition: A Review HS Kumar International Journal of Mechanical and Production Engineering Research and …, 2020 | | 2020 |
AN EXPERIMENTAL COMPARISON OF RANDOM FOREST AND SUPPORT VECTOR MACHINE FOR BEARING FAULT DIAGNOSIS: A MICROELECTRO MECHANICAL SENSOR APPROACH HS Kumar International Journal of Mechanical and Production Engineering Research and …, 2019 | | 2019 |