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Piyush Shakya
Piyush Shakya
Verified email at iitm.ac.in - Homepage
Title
Cited by
Cited by
Year
Bearing fault diagnosis and prognosis using data fusion based feature extraction and feature selection
S Buchaiah, P Shakya
Measurement 188, 110506, 2022
942022
Bearing diagnosis based on Mahalanobis–Taguchi–Gram–Schmidt method
P Shakya, MS Kulkarni, AK Darpe
Journal of Sound and Vibration 337, 342-362, 2015
642015
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
612014
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
592013
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
422021
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
352021
An approach to improve high-frequency resonance technique for bearing fault diagnosis
SK Mishra, P Shakya, V Babureddy, SA Vignesh
Measurement 178, 109318, 2021
252021
Bearing diagnosis using proximity probe and accelerometer
P Shakya, AK Darpe, MS Kulkarni
Measurement 80, 190-200, 2016
202016
Early fault detection based on empirical mode decomposition method
A Patel, P Shakya
Procedia CIRP 88, 31-35, 2020
112020
Bearing damage classification using instantaneous energy density
P Shakya, AK Darpe, MS Kulkarni
Journal of Vibration and Control 23 (16), 2578-2618, 2017
112017
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
92012
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
72020
A spectral kurtosis based blind deconvolution approach for spur gear fault diagnosis
S Hashim, P Shakya
ISA transactions, 2023
32023
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
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
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
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
2024
Variational Mode Decomposition based Vibro-Acoustic Analysis for Spur Gear Fault Detection
S Hashim, P Shakya
INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268 (6), 2318-2323, 2023
2023
Condition Monitoring of Ball Bearing Using MEMS-based Accelerometer
M Gaikwad, P Shakya, S Devadula
INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268 (6), 2795-2801, 2023
2023
Bearing Fault Diagnosis based on 2D-Acoustic Imaging and Convolutional Neural Networks
SK Mishra, P Shakya
INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268 (5), 3114-3120, 2023
2023
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