top of page
mbs.jpg

Tauheed Mian
PhD Scholar
Indian Institute of Technology Delhi

PhD Status: Dec 2018 to till date

Department/Centre: Centre for Automotive Research & Tribology

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

Research Area: Intelligent Fault Diagnosis and Prognosis of Rotating Machines

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

E-mail: tauheed.mian@itmmec.iitd.ac.in, tauheedm.iitd@gmail.com

Other Links: 

  • 1024px-Google_Scholar_logo.svg
  • LinkedIn
  • Research Gate

Educational Background

  • Master of Technology in Mechanical Engineering (Industrial and Production Engineering), ZHCET, AMU Aligarh, 2018.

  • Bachelor of Engineering in Mechanical Engineering, ZHCET, AMU Aligarh, 2016, Gold Medalist.

Publications

Journal Publications

  1. 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.

  2. 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.

  3. 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.

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

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

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

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

  8. Tauheed Mian, Anurag Choudhary and S. Fatima (2021), 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.

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

Conference Proceedings

  1. R.K. Mishra, Tauheed Mian, S. Fatima, A.R. Mohanty, and B.K. Panigrahi, “Motor and Bearing Multi-fault Diagnosis with Sound Quality Metrics" in 52nd International Congress and Exposition on Noise Control Engineering (Internoise 2023), Vol-268(8), pp-57-67, Chiba, Japan, 2023.

  2. 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. 

  3. 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. 

  4. 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. 

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

  6. Tauheed Mian, Anurag Choudhary and Shahab Fatima (2022), “Multisensor Fault Diagnosis of Misalignment and Unbalance Detection using Machine Learning”, International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE-2022), 2-5 January 2022, Trivandrum, Kerala

  7. Tauheed Mian and Mohammed Ali (2019), “Taguchi based optimization of process parameters in near turning operation using Al2O3 nanofluid”, 9th International Conference on Advancements and Futuristic Trends in Mechanical and Materials Engineering (AFTMME-2019), 5-7 Dec 2019, IIT Ropar

  8. Tauheed Mian and Mohammed Ali (2018), “Optimization of process parameters while doing turning operation on CNC lathe machine using conventional and hybrid nanofluids”, International Conference on Advances and soft computing application in design and manufacturing (ASCADM 2018), 4-6th June 2018, NIT Patna. ISBN: 978-93-86724-81-6, pp. 29-33.

  9. Salman Mohd. Khan, Mohammed Ali and Tauheed Mian (2018), “To Study the Performance of AS/RS under Different Loading Strategies”, International Conference on Advances and soft computing application in design and manufacturing (ASCADM 2018), 4-6th June 2018, NIT Patna. ISBN: 978-93-86724-81-6, pp. 392-6.

  10. Tauheed Mian and Mohammed Ali (2017), “Quick and easy analysis of a flexible manufacturing system using arena”, 2nd international conference on Advanced production and industrial engineering (ICAPIE-2017), Delhi Technological University, Delhi, India during 6-7, October 2017. ISBN 978- 93-84588-07- 6, pp. 306-16.

Book Chapter

  1. Faizan, M. S., Mian, T., & Muzammil, M. (2021). A Comparative Analysis of a Mouse and Touchpad Based on Throughput and Locations for a Laptop Computer. Ergonomics for Improved Productivity: Proceedings of HWWE 2017, 219.

bottom of page