International Journals                                                                                                                                                                                     

1. Upadhyay, N., Chourasiya, S.K. Extreme learning machine and ensemble techniques for classification of rolling element bearing defects. Life Cycle Reliab Saf Eng 11, 189–201 (2022). https://doi.org/10.1007/s41872-022-00196-1.

2. Upadhyay N, Sharma A, Sinha AK, Chourasiya SK (2021) Wavelet time scattering features for the bearing defectsclassification. Design Eng: 2905–2913. Available at http://thedesignengineering.com/index.php/DE/article/view/7269 

3. Upadhyay N, ASSESSMENT OF THERMAL CONDUCTIVITY OF PHASE CHANGE MATERIALS BY INCORPORATING METAL AND METAL OXIDES NANOPARTICLES. Advances and Applications in Mathematical Sciences Volume 21, Issue 9, July 2022, Pages 5223-5230.

4. Upadhyay, N., Kankar, P.K. Diagnosis of bearing defects using tunable Q-wavelet transform. J Mech Sci Technol 32, 549–558 (2018). https://doi.org/10.1007/s12206-018-0102-8.

5. Sharma A, Upadhyay N, Kankar PK, Amarnath M. Nonlinear dynamic investigations on rolling element bearings: A review. Advances in Mechanical Engineering. March 2018. doi:10.1177/1687814018764148. 

6. Upadhyay, N., Metsebo, J., Kankar, P.K. et al. An Improved Theoretical Model of Unbalanced Shaft-Bearing System for Accurate Performance Prediction of Ball Bearing Due to Localized Defects. Iran J Sci Technol Trans Mech Eng 42, 293–309 (2018). https://doi.org/10.1007/s40997-017-0098-9.

7. N. Upadhyay & P. K Kankar (2017) Dynamic analysis of rotor-bearing system by considering the transverse crack on rotor, European Journal of Computational Mechanics, 26:3, 336-350, DOI: 10.1080/17797179.2017.1354577. 

8. Metsebo, J., Upadhyay, N., Kankar, P.K. et al. Modelling of a rotor-ball bearings system using Timoshenko beam and effects of rotating shaft on their dynamics. J Mech Sci Technol 30, 5339–5350 (2016). https://doi.org/10.1007/s12206-016-1101-x.

9. S. Kavathekar, N. Upadhyay, P.K. Kankar, Fault Classification of Ball Bearing by Rotation Forest Technique, Procedia Technology, Volume 23, 2016, Pages 187-192, ISSN 2212-0173.

Book Chapter     

10. Upadhyay N, Kankar PK (2020) Integrated model and machine learning-based approach for diagnosis of bearing defects. In: Gupta V, Varde P, Kankar P, Joshi N (eds) Reliability and risk assessment in engineering. lecture notes in mechanical engineering. Springer, Singapore

11. Kumar Sinha, Agnivesh, Rathore, Ram Krishna, Kumar Soni, Vinay, Rao, K. Raja, Upadhyay, Nitin and Pamnani, Gulab. "Chapter 8 Effect of alloying elements on the phases of high-entropy alloys". High-Entropy Alloys: Processing, Alloying Element, Microstructure, and Properties, edited by Anil Kumar, Rituraj Chandrakar, Vikas Dubey and Marta Michalska-Domańska, Berlin, Boston: De Gruyter, 2023, pp. 89-98. https://doi.org/10.1515/9783110769470-008

Conferences  Proceedings

12. Upadhyay N, Kankar PK (2017) Extreme learning machine and decision tree based ensemble techniques for diagnosis of rolling element bearing defects. In: Proceeding of International Congress on Sound and Vibration.

13. Upadhyay, N, Jules, M, Kankar, PK, & Nbendjo, BRN. "Mathematical Model for Rotor Bearing System by Considering the Effect of Shaft Dynamics and Localized Bearing Defects." Proceedings of the ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 8: 28th Conference on Mechanical Vibration and Noise. Charlotte, North Carolina, USA. August 21–24, 2016. V008T10A024. ASME.