D. H. Pandya

发表

Fault diagnosis of high-speed rolling element bearings using wavelet packet transform

Sanjay H Upadhyay, S. P. Harsha, D. H. Pandya, 2015 .

Fault Diagnosis of Ball Bearing with WPT and Supervised Machine Learning Techniques

P. H. Darji, D. H. Pandya, Ankit A Darji, 2019 .

Experimental Investigation of Chatter in CNC Turning Using Different Shim Materials

D. H. Pandya, C. J. Mevada, H. M. Trivedi, 2020 .

Fault diagnosis of rolling element bearing with intrinsic mode function of acoustic emission data using APF-KNN

Suraj Prakash Harsha, S. H. Upadhyay, D. H. Pandya, 2013, Expert Syst. Appl..

Experimental Investigation of Nonlinear Dynamic Motion Analysis of Balanced Rotor Supported by Cylindrical Roller Bearing

D. H. Pandya, H. K. Yadav, O. G. Vaghela, 2020, Lecture Notes in Mechanical Engineering.

Non Linear Dynamic Analysis of Cylindrical Roller Bearing

D. H. Pandya, H. K. Yadav, D. Pandya, 2017 .

ANN BASED FAULT DIAGNOSIS OF ROLLING ELEMENT BEARING USING TIME-FREQUENCY DOMAIN FEATURE

S. P. Harsha, S. H. Upadhyay, D. H. Pandya, 2012 .

Nonlinear vibration signature analysis of a rotor supported ball bearings

S. P. Harsha, D. H. Pandya, H. K. Yadav, 2017 .

Fault diagnosis of rolling element bearing by using multinomial logistic regression and wavelet packet transform

S. H. Upadhyay, D. H. Pandya, S. P. Harsha, 2014, Soft Comput..

Comparison of the supervised machine learning techniques using WPT for the fault diagnosis of cylindrical roller bearing

D. H. Pandya, Umang Parmar, D. Pandya, 2021, International Journal of Engineering, Science and Technology.