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Anurag Choudhary
PhD Scholar
Indian Institute of Technology Delhi

PhD Status: Aug 2020 to Till date

Department/Centre: School of Interdisciplinary Research

Supervisor: Prof. S. Fatima (CART, IIT Delhi)

Co-supervisor: Prof. B. K. Panigrahi (Electrical Engineering, IIT Delhi)

Research Area: Condition Monitoring and Fault Diagnosis of Electric Vehicles

Address: Block V-142/143, Automotive Health Monitoring Lab, CART, IIT Delhi

E-mail: srz208246@sire.iitd.ac.in

Other Links: 

  • Google Scholar
  • Research Gate
  • LinkedIn

Educational Background

  • Master of Engineering in Instrumentation and Control (National Institute of Technical Teachers Training and Research, Chandigarh), 2018

  • Bachelor of Technology in Electrical and Electronics Engineering (Uttarakhand Technical University, Dehradun), 2015

Publications

Journal Publications

  1. R. K. Mishra, Anurag Choudhary, S. Fatima, A.R. Mohanty, B.K. Panigrahi, “A Generalized Method for Diagnosing Multi-faults in Rotating Machines Using Imbalance Datasets of Different Sensor Modalities”, Engineering Applications of Artificial Intelligence, Vol. 132, p. 107973, 2024, doi:10.1016/j.engappai.2024.107973.

  2. R. K. Mishra, Anurag Choudhary, S. Fatima, A.R. Mohanty, B.K. Panigrahi, “Multi-fault Diagnosis of Rotating Machine Under Uncertain Speed Conditions”, Journal of Vibration Engineering & Technologies, 2023, doi: 10.1007/s42417-023-01141-x.

  3. Anurag Choudhary, Tauheed Mian, S. Fatima, and B. K. Panigrahi (2023), Nature-inspired artificial bee colony-based hyperparameter optimization of CNN for anomaly detection in induction motor, Expert Systems, 1-19, doi: https://doi.org/10.1111/exsy.13407.

  4. Tauheed Mian, Anurag Choudhary, S. Fatima (2023), Multi-sensor fault diagnosis for misalignment and unbalance detection using machine learning. IEEE Transactions on Industry Applications, 1-12, doi: 10.1109/TIA.2023.3286833.

  5. Tauheed Mian, Anurag Choudhary, S. Fatima, B.K. Panigrahi (2023), Artificial intelligence of things based approach for anomaly detection in rotating machines. Computers and Electrical Engineering, 109-A, p. 108760.

  6. Anurag Choudhary, R.K. Mishra, S. Fatima, and B.K. Panigrahi, “Multi-Input CNN based Vibro-acoustic Fusion for Accurate Fault Diagnosis of Induction Motor”, Engineering Applications of Artificial Intelligence, Vol. 120, p. 105872, (2023), doi: 10.1016/j.engappai.2023.105872.

  7. Anurag Choudhary, Tauheed Mian, S. Fatima and B. K. Panigrahi, Fault Diagnosis of Electric Two-Wheeler under Pragmatic Operating Conditions using Wavelet Synchrosqueezing Transform and CNN, IEEE Sensor Journal, (2023), doi: 10.1109/JSEN.2023.3239383.

  8. R. K. Mishra, Anurag Choudhary, S. Fatima, A.R. Mohanty, B.K. Panigrahi, A Fault Diagnosis Approach Based On 2D Vibration Imaging for Bearing Faults, Journal of Vibration Engineering & Technologies, (2022), doi: 10.1007/s42417-022-00735-1.

  9. Anurag Choudhary, S. Fatima and B. K. Panigrahi, State of the Art Technologies in Fault Diagnosis of Electric Vehicles: A Component-Based Review, IEEE Transactions on Transportation Electrification, (2022), doi: 10.1109/TTE.2022.3209166.

  10. Tauheed Mian, Anurag Choudhary, and S. Fatima, Vibration and infrared thermography based multiple fault diagnosis of bearing using deep learning, Nondestructive Testing and Evaluation, (2022), pp. 1-22.

  11. R. K. Mishra, Anurag Choudhary, S. Fatima, A.R. Mohanty, B.K. Panigrahi, A Self-adaptive Multiple Fault Diagnosis System for Rolling Element Bearing, Measurement Science and Technology, (2022), doi:10.1088/1361-6501/ac8ca8.

  12. Tauheed Mian, Anurag Choudhary and S. Fatima, An efficient diagnosis approach for bearing faults using sound quality metrics. Applied Acoustics, (2022), 195, p. 108839.

  13. R. K. Mishra, Anurag Choudhary, A.R. Mohanty, S. Fatima, An intelligent bearing fault diagnosis based on hybrid signal processing and Henry gas solubility optimization, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, pp 1-14, (2022), doi:10.1177/09544062221101737.

  14. Anurag Choudhary, Tauheed Mian, S. Fatima and B. K. Panigrahi, Passive Thermography Based Bearing Fault Diagnosis using Transfer Learning with Varying Working Conditions, IEEE Sensor Journal (2022), doi: 10.1109/JSEN.2022.3164430.

  15. Tauheed Mian, Anurag Choudhary and S. Fatima, A Sensor Fusion Based Approach for Bearing Fault Diagnosis of Rotating Machine, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability (2021), p.1748006X211044843

  16. Anurag Choudhary, Tauheed Mian and S. Fatima "Convolutional Neural Network Based Bearing Fault Diagnosis of Rotating Machine Using Thermal Images"  Measurement (2021): 109196

  17. Anurag Choudhary, Deepam Goyal, and Sudha Letha Shimi "Infrared Thermography Based Fault Diagnosis of Bearings using Machine Learning " IEEE Sensors Journal 21.2 (2020): 1727-1734

  18. Ankush Mehta, Anurag Choudhary, Deepam Goyal, and P. S. Pabla. Infrared Thermography Based Fault Diagnosis and Prognosis for Rotating Machines, Journal of University of Shanghai for Science and Technology, Volume 23, Issue 1, January - 2021.

  19. Deepam Goyal, S. K. Mittal, Anurag Choudhary, and R. K. Dang,. Graphene: A two dimensional super material for sensor applications. Materials Today: Proceedings (2021).

  20. Deepam Goyal, Anurag Choudhary, S. Pabla, and S. S. Dhami "Support Vector Machines Based Non-contact Fault Diagnosis System for Bearings" in Journal of Intelligent Manufacturing.

  21. Anurag Choudhary, Deepam Goyal, Sudha Letha Shimi, and Aparna Akula "Condition Monitoring and Fault Diagnosis of Induction Motors: A Review" Archives of Computational Methods in Engineering (2018), Volume 26, Issue 4, pp 1221–1238.

  22. Anurag Choudhary, Rohit Kumar, Govind Koundal, Amritpreet Singh, Akhilendra Yadav "Modelling/Simulation of MPPT Techniques for Photo-voltaic Systems Using MATLAB" International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), Vol.7(4), 2017.

  23. Divya Shakti, Anurag Choudhary, Akhilendra Yadav"An Overview Of Electricity Consumption and Energy Savings in Houses and Buildings" International Journal for Scientific Research and Development (IJSRD), Vol. 4(11), pp. 223-227, 2017.

  24. Anuj Kumar Palariya, Anurag Choudhary, Akhilendra Yadav"Modelling, Control and Simulation of MPPT for Wind Energy Conversion Using MATLAB/Simulink" The Engineering Journal of Application and Scopes (TEJAS) Vol. 1(2), 2016.

  25. Anurag Choudhary, A.S. Yadav, Amit Kumar "Detection of High Impedance Fault: Analysis, Simulation Studies and Distance Relaying Scheme in Transmission Line" International Journal of Research in Technology and Management (IJRTM) Vol. 2(3), 2016.

  26. Anurag Choudhary "PSCAD Simulation High Resistance Fault in Transmission Line Protection Using Distance Relay" The Engineering Journal of Application and Scopes (TEJAS) Vol. 1(2), 2016.

Conference Proceedings

  1. Anurag Choudhary, Tauheed Mian, S. Fatima, 2023, Thermography-Based Fault Identification in Induction Motor Across Dynamic Speed Conditions, IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, 16-19 October 2023. 

  2. R. K. Mishra, Anurag Choudhary, S. Fatima, A. R. Mohanty, and B. K. Panigrahi, “Realistic Condition-based Anomaly Detection of Multi-faults in Rotating Machines”, in 3rd International Conference on Sustainable Energy and Future Electric transportation (SEFET), Bhubaneswar, India, pp.-1-6, 2023, doi:10.1109/SeFeT57834.2023.10245372.

  3. Anurag Choudhary, Tauheed Mian, S. Fatima, B.K. Panigrahi, 2023, Multi-Sensor based Bearing Fault Diagnosis of Switched Reluctance Motor for Electric Vehicle, The 6th International Conference on Electronics, Communications, and Control Engineering (ICECC23), Fukuoka Institute of Technology, Fukuoka, Japan, March 24-26, 2023. 

  4. Tauheed Mian, Anurag Choudhary, S. Fatima, B.K. Panigrahi, 2023, Mel-spectrogram Based Approach for Fault Detection in Bearing using Convolutional Neural Network, The 6th International Conference on Electronics, Communications, and Control Engineering (ICECC23), Fukuoka Institute of Technology, Fukuoka, Japan, March 24-26, 2023. 

  5. Anurag Choudhary, S. Fatima and B. K. Panigrahi, "Passive Thermal Imaging-based Fault Detection in Induction Motor Under Varying Speed Conditions," 2022 IEEE 2nd International Conference on Sustainable Energy and Future Electric Transportation (SeFeT), 2022, pp. 1-6, doi: 10.1109/SeFeT55524.2022.9909221.

  6. Tauheed Mian, Anurag Choudhary, S. Fatima, Sound Signal Based Gear Fault Diagnosis Under Varying Working Conditions, 28th International Congress on Sound and Vibration (ICSV28), Singapore, 24-28, July 2022.

  7. R. K. Mishra, Anurag Choudhary, A. R. Mohanty and S. Fatima, A Comparative Study of Time-Frequency Analysis for The Application of Fault Diagnosis System, 28th International Congress on Sound and Vibration (ICSV28), Singapore, 24-28, July 2022. 

  8. Anurag Choudhary, R.K. Mishra, S. Fatima, and B.K. Panigrahi, “Fault Diagnosis of Induction Motor Under Varying Operating Condition for Electric Vehicle” in 2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET), Arad, Romania, 2022.

  9. R.K. Mishra, Anurag Choudhary, A.R. Mohanty and S. Fatima, "Performance Evaluation of Support Vector Machine for System Level Multi-fault Diagnosis", in 2022 Prognostics and Health Management Conference (PHM-2022), London, UK, pp. 113-118, 2022.

  10. Tauheed Mian, Anurag Choudhary, and S. Fatima, "Multi-Sensor Fault Diagnosis for Misalignment and Unbalance Detection Using Machine Learning", in IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE22), Trivandrum, Kerala, pp. 1-6, 2022.

  11. R.K. Mishra, Anurag Choudhary, A.R. Mohanty and S. Fatima, "Multi-domain Bearing Fault Diagnosis using Support Vector Machine", in IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON), Kuala Lumpur, Malaysia, pp 1-6, 2021.

  12. Amandeep Sharma, Anurag Choudhary, Pankaj Verma, Lini Mathew and S. Chatterji "Application of Wavelet Analysis in Condition Monitoring of Induction Motors" in Lecture Notes in Mechanical Engineering, International Conference on Emerging Trends in Electro-Mechanical Technologies and Management on 26th-27th July, at HMR Institute of Technology and Management, New Delhi, India

  13. Divya Shakti, Anurag Choudhary, Lini Mathew "Spasticity and Its Treatment: A Review" has been Presented in International Conference on Advances Technology in Science and Engineering on 8th May, 2019 at Trivandrum.

  14. Anurag Choudhary, Shefali Jamwal, Deepam Goyal, Rajeev Kumar Dang, Shankar Sehgal "Condition Monitoring of Induction Motor using Internet of Things" (2020) in Recent Advances in Mechanical Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore.

  15. Deepam Goyal, Anurag Chaudhary, Rajeev Kumar Dang, B. S. Pabla, and S. S. Dhami. "Condition Monitoring of Rotating Machines: A Review." World Scientific News 113 (2018): 98-108.

  16. Anurag Choudhary, Shimi S. L., Aparna Akula"Bearing Fault Diagnosis of Induction Motor Using Thermal Imaging" IEEE International Conference on Computing, Power and Communication Technologies-2018 (GUCON), at Galgotias University, Greater Noida.

  17. Rohit Kumar, Anurag Choudhary, Shimi S.L. "Smooth Starter for DC Shunt Motor Using Buck- Boost Power Converter" IEEE International Conference on Innovations in Control, Communication and Information Systems (ICICCI-2017), Noida.

  18. Aadesh Arya, Rajeev Kumar, Anurag Choudhary"Simulation Solar Power Plant Artificial Intelligence Based Using Matlab/Simulink" International Conference on Emerging Trends in Engineering and Technology, IETET on 04-11-2016, Geeta Institute of Management and Technology, Kurukshetra, India

  19. Anurag Choudhary and Amit Kumar "Simulation of Under-Reach Effect in Distance Relay Using PSCAD" National Conference on Research and Innovation in Engineering and Technology, NCRIET-2015 at College of Engineering Roorkee on 28th-29th March 2015.

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