P. Shakya

发表

In-process characterization of surface finish in cylindrical grinding process using vibration and power signals

N. Babu, P. Prakasam, Supriyo Mahata, 2020 .

Automatic incipient fault detection and health state assessment of rolling element bearings using pruned exact linear time method

P. Shakya, Sandaram Buchaiah, 2022, Journal of Vibration and Control.

An approach to improve high-frequency resonance technique for bearing fault diagnosis

S. Mishra, P. Shakya, Vimaleswar Babureddy, 2021 .

Vibration-based fault diagnosis in rolling element bearings: ranking of various time, frequency and time-frequency domain data-based damage identi cation parameters

Makarand S. Kulkarni, Ashish K. Darpe, Piyush Shakya, 2013 .

Spur gear crack modelling and analysis under variable speed conditions using variational mode decomposition

Piyush Shakya, Akash Patel, P. Shakya, 2021 .

Bearing fault diagnosis and prognosis using data fusion based feature extraction and feature selection

P. Shakya, Sandaram Buchaiah, Piyush Shakya, 2021, Measurement.

Bearing damage classification using instantaneous energy density

Makarand S. Kulkarni, Ashish K. Darpe, Piyush Shakya, 2017 .

Bearing diagnosis based on Mahalanobis–Taguchi–Gram–Schmidt method

Makarand S. Kulkarni, Ashish K. Darpe, Piyush Shakya, 2015 .

A robust condition monitoring methodology for grinding wheel wear identification using Hilbert Huang transform

Piyush Shakya, N. Ramesh Babu, Supriyo Mahata, 2021, Precision Engineering.