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Madhurjya Dev Choudhury
Madhurjya Dev Choudhury
Verified email at vuw.ac.nz
Title
Cited by
Cited by
Year
Design methodology for a special single winding based bearingless switched reluctance motor
MD Choudhury, F Ahmed, G Kumar, K Kalita, K Tammi
The Journal of Engineering 2017 (7), 274-284, 2017
192017
A Methodology to Handle Spectral Smearing in Gearboxes Using Adaptive Mode Decomposition and Dynamic Time Warping
MD Choudhury, L Hong, JS Dhupia
IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021
162021
Design and Analysis of a Radial Active Magnetic Bearing for Vibration Control
G Kumar, MD Choudhury, S Natesan, K Kalita
Procedia Engineering 144, 810-516, 2016
132016
An Overview of Fault Diagnosis of Industrial Machines Operating Under Variable Speeds
MD Choudhury, K Blincoe, JS Dhupia
Acoustics Australia 49 (2), 229–238, 2021
122021
A novel tacholess order analysis method for bearings operating under time-varying speed conditions
MD Choudhury, L Hong, JS Dhupia
Measurement 186, 1-12, 2021
112021
Bridge Configured Wounded Switched Reluctance Motor
F Ahmed, G Kumar, MD Choudhury, K Kalita
Procedia Engineering 144, 817-824, 2016
82016
Order tracking using variational mode decomposition to detect gear faults under speed fluctuations
MD Choudhury, L Hong, JS Dhupia
Annual Conference of the PHM Society 11 (1), 2019
32019
A critical investigation of Hilbert-Huang transform based envelope analysis for fault diagnosis of gears
MD Choudhury, L Hong, JS Dhupia
2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2018
32018
Modeling and analysis of bearingless switched reluctance motor equipped with specialized stator winding
F Ahmed, MD Choudhury, G Kumar, K Kalita
2016 IEEE International Conference on Power Electronics, Drives and Energy …, 2016
32016
Deep learning based time-frequency image enhancement method for machinery health monitoring
MD Choudhury, K Blincoe, JS Dhupia
2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2023
12023
A Deep Learning Based Fault Diagnosis Method Combining Domain Knowledge and Transfer Learning
MD Choudhury, WB Kleijn, K Blincoe, JS Dhupia
2023 29th IEEE International Conference on Mechatronics and Machine Vision …, 2023
2023
A Digital Twin Based Framework for Real-Time Machine Condition Monitoring
Z Chen, MD Choudhury, K Blincoe, JS Dhupia
2023 IEEE 19th International Conference on Automation Science and …, 2023
2023
INTERNET OF THINGS-ENABLED SMART CONDITION MONITORING SYSTEM FOR MAINTENANCE OF INDUSTRIAL EQUIPMENT
M Kim, MD Choudhury, K Blincoe, JS Dhupia
Proceedings of the International Symposium on Flexible Automation 2022 …, 2022
2022
A Comparative Analysis Between EMD- and VMD-Based Tacho-Less Order Tracking Techniques for Fault Detection in Gears
MD Choudhury, L Hong, JS Dhupia
Vibration Engineering for a Sustainable Future 2, 230-209, 2021
2021
Strategies for Removing Non-stationary Effects in Machine Diagnostics using Model-driven and Artificial Intelligence Techniques
MD Choudhury
PhD Thesis-University of Auckland, 2021
2021
Vibration-based Condition Monitoring of Industrial Drivetrains Operating under Non-stationary Conditions
MD Choudhury
Annual Conference of the PHM Society 11 (1), 2019
2019
Development of Self Bearing Machine Using a Specialized Stator Winding
K Kalita, MD Choudhury, G Kumar, S Natesan, D Choudhury, A Kalita
i-Scholar Conference Proceedings, 84-88, 2015
2015
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