Παρακολούθηση
Piyush Shakya
Piyush Shakya
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα iitm.ac.in - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Bearing fault diagnosis and prognosis using data fusion based feature extraction and feature selection
S Buchaiah, P Shakya
Measurement 188, 110506, 2022
1572022
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
722014
Bearing diagnosis based on Mahalanobis–Taguchi–Gram–Schmidt method
P Shakya, MS Kulkarni, AK Darpe
Journal of Sound and Vibration 337, 342-362, 2015
672015
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
632013
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
602021
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
472021
An approach to improve high-frequency resonance technique for bearing fault diagnosis
SK Mishra, P Shakya, V Babureddy, SA Vignesh
Measurement 178, 109318, 2021
352021
A spectral kurtosis based blind deconvolution approach for spur gear fault diagnosis
S Hashim, P Shakya
ISA transactions, 2023
292023
Bearing diagnosis using proximity probe and accelerometer
P Shakya, AK Darpe, MS Kulkarni
Measurement 80, 190-200, 2016
232016
Early fault detection based on empirical mode decomposition method
A Patel, P Shakya
Procedia CIRP 88, 31-35, 2020
132020
Bearing damage classification using instantaneous energy density
P Shakya, AK Darpe, MS Kulkarni
Journal of Vibration and Control 23 (16), 2578-2618, 2017
122017
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
112012
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
102020
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 29 (21-22), 5148-5160, 2023
62023
Combined VMD-Morlet Wavelet Filter Based Signal De-noising Approach and Its Applications in Bearing Fault Diagnosis
AR Patil, S Buchaiah, P Shakya
Journal of Vibration Engineering & Technologies, 1-25, 2024
42024
Tacho-less spur gear condition monitoring at variable speed operation using the adaptive application of variational mode extraction
S Hashim, P Shakya
Structural Health Monitoring, 14759217241247867, 2024
22024
TFFNet: A robust approach with anti-noise and domain shift adaptation for intelligent fault diagnosis of rotating machinery
P Kawale, SK Mishra, P Shakya
Journal of Vibration and Control, 10775463241234960, 2024
22024
Tacholess Instantaneous Speed Estimation of a Wind Turbine Gearbox Using Vibration Signals
R Sankarankutty, S Rathna Prasad, P Shakya, AS Sekhar
Turbo Expo: Power for Land, Sea, and Air 87127, V014T37A013, 2023
22023
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
22021
Nonlinear vibration analysis and defect characterization using entropy measure-based learning algorithm in a defective rolling element bearings
P Kumar, S Narayanan, P Shakya
Structural Health Monitoring, 14759217241303866, 2025
12025
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