| A novel methodology for online detection of bearing health status for naturally progressing defect P Shakya, MS Kulkarni, AK Darpe Journal of Sound and Vibration 333 (21), 5614-5629, 2014 | 57 | 2014 |
| Bearing diagnosis based on Mahalanobis–Taguchi–Gram–Schmidt method P Shakya, MS Kulkarni, AK Darpe Journal of Sound and Vibration 337, 342-362, 2015 | 56 | 2015 |
| Vibration-based fault diagnosis in rolling element bearings: ranking of various time, frequency and time-frequency domain data-based damage identi cation parameters P Shakya, AK Darpe, MS Kulkarni International journal of condition monitoring 3 (2), 53-62, 2013 | 54 | 2013 |
| Bearing fault diagnosis and prognosis using data fusion based feature extraction and feature selection S Buchaiah, P Shakya Measurement 188, 110506, 2022 | 26 | 2022 |
| A robust condition monitoring methodology for grinding wheel wear identification using Hilbert Huang transform S Mahata, P Shakya, NR Babu Precision Engineering 70, 77-91, 2021 | 22 | 2021 |
| Spur gear crack modelling and analysis under variable speed conditions using variational mode decomposition A Patel, P Shakya Mechanism and Machine Theory 164, 104357, 2021 | 20 | 2021 |
| An approach to improve high-frequency resonance technique for bearing fault diagnosis SK Mishra, P Shakya, V Babureddy, SA Vignesh Measurement 178, 109318, 2021 | 16 | 2021 |
| Bearing diagnosis using proximity probe and accelerometer P Shakya, AK Darpe, MS Kulkarni Measurement 80, 190-200, 2016 | 15 | 2016 |
| Early fault detection based on empirical mode decomposition method A Patel, P Shakya Procedia CIRP 88, 31-35, 2020 | 10 | 2020 |
| Bearing damage classification using instantaneous energy density P Shakya, AK Darpe, MS Kulkarni Journal of Vibration and Control 23 (16), 2578-2618, 2017 | 10 | 2017 |
| Use of Mahalanobis Taguchi system as data fusion approach for monitoring health of rolling element bearing P Shakya, AK Darpe, MS Kulkarni ISMA International Conference on Noise and Vibration Engineering, 3389-3402, 2012 | 9 | 2012 |
| In-process characterization of surface finish in cylindrical grinding process using vibration and power signals S Mahata, P Shakya, NR Babu, PK Prakasam Procedia CIRP 88, 335-340, 2020 | 4 | 2020 |
| Rolling Element Bearing Fault Diagnosis by Different Data Fusion Techniques S Buchaiah, P Shakya Proceedings of the 6th National Symposium on Rotor Dynamics, 341-350, 2021 | 2 | 2021 |
| ONLINE DETECTION OF BEARING HEALTH STATUS AND DE-FECT TYPE IN GRINDING MACHINE SPINDLES P Shakya, MS Kulkarni, AK Darpe The 22nd International conference on Sound and Vibration, 2015 | 1* | 2015 |
| Bearing Early Fault Detection Using Local Tangent Space Alignment and Hypothesis Testing S Buchaiah, P Shakya 2022 10th International Conference on Control, Mechatronics and Automation …, 2022 | | 2022 |
| Automatic incipient fault detection and health state assessment of rolling element bearings using pruned exact linear time method S Buchaiah, P Shakya Journal of Vibration and Control, 10775463221131843, 2022 | | 2022 |
| Data fusion based diagnosis and prognosis of ball bearings P Shakya IIT Delhi, 2015 | | 2015 |
| PULSE PROPAGATION IN AXIS-SYMMETRIC WAVEGUIDES: FEM SIMULATIONS AND EXPERIMENTS P Shakya, PP Kumar, CV Krishnamurthy, K Balasubramaniam | | |
Makarand KulkarniProfessor, IIT BombayVerified email at iitb.ac.in
