Publications

Year: 2024

1. Choudhary, A., R.K., Mishra Fatima, S., & Panigrahi, B. K. (2024). Multi-modal Fusion Based Fault Diagnosis of Electric Vehicle Motor for Sustainable Transportation. IEEE Transactions on Transportation Electrification, Link 

2. Mishra, R. K., Choudhary, A., Fatima, S., Mohanty, A. R., & Panigrahi, B. K. (2024). A generalized method for diagnosing multi-faults in rotating machines using imbalance datasets of different sensor modalities. Engineering Applications of Artificial Intelligence, 132, 107973.Link 

3. Choudhary, A., Kumar, R., Letha, S. S., Bakhsh, F. I., Singh, A., & Khan, M. J. (2024). Review of recent trends of advancements in multilevel inverter topologies with reduced power switches and control techniques. IET Power Electronics.Link 

4. Choudhary, A., Mian, T., Fatima, S., & Panigrahi, B. K. (2024). Nature‐inspired artificial bee colony‐based hyperparameter optimization of CNN for anomaly detection in induction motor. Expert Systems, 41(7), e13407. Link 

5. Mishra, R. K., Choudhary, A., Fatima, S., Mohanty, A. R., & Panigrahi, B. K. (2024). Multi-fault diagnosis of rotating machine under uncertain speed conditions. Journal of Vibration Engineering & Technologies, 12(3), 4637-4654.Link 

Year: 2023

6. Choudhary, A., Mian, T., Fatima, S., & Panigrahi, B. K. (2023). Fault diagnosis of electric two-wheeler under pragmatic operating conditions using wavelet synchrosqueezing transform and CNN. IEEE Sensors Journal, 23(6), 6254-6263. Link 

7. Mian, T., Choudhary, A., & Fatima, S. (2023). Multi-sensor fault diagnosis for misalignment and unbalance detection using machine learning. IEEE Transactions on Industry Applications, 59(5), 5749-5759. Link 

8. Choudhary, A., Mishra, R. K., Fatima, S., & Panigrahi, B. K. (2023). Multi-input CNN-based vibro-acoustic fusion for accurate fault diagnosis of induction motor. Engineering Applications of Artificial Intelligence, 120, 105872. Link 

9. Mian, T., Choudhary, A., Fatima, S., & Panigrahi, B. K. (2023). Artificial intelligence of things based approach for anomaly detection in rotating machines. Computers and Electrical Engineering, 109, 108760. Link 

10. Mishra, R. K., Choudhary, A., Fatima, S., Mohanty, A. R., & Panigrahi, B. K. (2023). A fault diagnosis approach based on 2D-vibration imaging for bearing faults. Journal of Vibration Engineering & Technologies, 11(7), 3121-3134. Link 

11. Mian, T., Choudhary, A., & Fatima, S. (2023). Vibration and infrared thermography based multiple fault diagnosis of bearing using deep learning. Nondestructive Testing and Evaluation, 38(2), 275-296. Link 

Year: 2022

12. Mian, T., Choudhary, A., & Fatima, S. (2022). An efficient diagnosis approach for bearing faults using sound quality metrics. Applied Acoustics, 195, 108839. Link 

13. Mishra, R. K., Choudhary, A., Fatima, S., Mohanty, A. R., & Panigrahi, B. K. (2022). A self-adaptive multiple-fault diagnosis system for rolling element bearings. Measurement Science and Technology, 33(12), 125018. Link 

14. Mishra, R. K., Choudhary, A., Mohanty, A. R., & Fatima, S. (2022). 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, 236(19), 10378-10391. Link 

15. Choudhary, A., Fatima, S., & Panigrahi, B. K. (2022). State-of-the-art technologies in fault diagnosis of electric vehicles: A component-based review. IEEE Transactions on Transportation Electrification, 9(2), 2324-2347. Link 

16. Choudhary, A., Mian, T., Fatima, S., & Panigrahi, B. K. (2022). Passive thermography-based bearing fault diagnosis using transfer learning with varying working conditions. IEEE Sensors Journal, 23(5), 4628-4637. Link 

Year: 2021

17. Choudhary, A., Mian, T., & Fatima, S. (2021). Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images. Measurement, 176, 109196. Link 

18. 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).Link 

Year: 2020

19. Goyal, D., Choudhary, A., Pabla, B. S., & Dhami, S. S. (2020). Support vector machines based non-contact fault diagnosis system for bearings. Journal of Intelligent Manufacturing, 31, 1275-1289. Link 

20. Choudhary, A., Goyal, D., & Letha, S. S. (2020). Infrared thermography-based fault diagnosis of induction motor bearings using machine learning. IEEE Sensors Journal, 21(2), 1727-1734. Link 

Year: 2019

21. Choudhary, A., Goyal, D., Shimi, S. L., & Akula, A. (2019). Condition monitoring and fault diagnosis of induction motors: A review. Archives of Computational Methods in Engineering, 26(4), 1221-1238. Link 

International Conference Proceeding

1. Anurag Choudhary, T. Mian, S. Fatima, and B. K. Panigrahi,” Thermography-based Fault Identification in Induction Motor across Dynamic Speed Conditions,” 2023 IEEE 49th Annual Conference of the IEEE Industrial Electronics Society (IES), 2023.

2. R. K. Mishra, Anurag Choudhary, A. R. Mohanty, S. Fatima, and B. K. Panigrahi,” Realistic Condition-based Anomaly Detection of Multi-faults in Rotating Machines,” 2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SeFeT), 2024

3. Anurag Choudhary, Tauheed Mian, S. Fatima and B. K. Panigrahi,” Multi Sensor based Bearing Fault Diagnosis of Switched Reluctance Motor for Electric Vehicle” in 6th International Conference on Electronics, Communications and Control Engineering (ICECC 2023), Fukuoka, Japan.

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

5. A. Choudhary, T. Mian, S. Fatima and B. K. Panigrahi,” Deep Transfer Learning Based Fault Diagnosis of Electric Vehicle Motor,” 2022 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Jaipur, India, 2022, pp. 1-6, doi: 10.1109/PEDES56012.2022.10080274.

6. 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.

7. T. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. 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.

13. Amandeep Sharma, Anurag Choudhary, Pankaj Verma, Lini Mathew and S. Chatterji” Application of Wavelet Analysis in Condition Monitoring of Induction Motors” accepted for consideration for publication in the journal 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

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.