patents
Published
Monitoring System For Estimating the Useful Life Of A Machine Component
M. Azamfar, V. Pandhare, M. Miller, F. Li, P. Li, J. Singh, H. Davari, J. Lee, J. Sanders, K. Yamaguchi
(in partnership with Mazak North America)
2021, Patent No. US- 20220187798- A1
Date of Filing: 15/12/2021
Date Published: 16/06/2022
Tool Condition Monitoring System
M. Azamfar, V. Pandhare, M. Miller, F. Li, P. Li, J. Singh, H. Davari, J. Lee, J. Sanders, K. Yamaguchi
(in partnership with Mazak North America)
2021, Patent No. US- 20220187164- A1
Date of Filing: 15/12/2021
Date Published: 16/06/2022
Method and System for Providing Smart Communications for Distributed Operations Planning in an Industrial Network
B. K. Lad, M. S. Kulkarni, V. Pandhare, N. Agrawal, K. Upasani, M. Bakshi
2016, Indian Patent Application No. 201621007003
Date of Filing: 29/02/2016
Date Published: 20/10/2017
journals
Pandhare V., Miller M., Vogl W. and Lee J., Ball Screw Health Monitoring with Inertial Sensors, IEEE Transactions on Industrial Informatics, 2022, https://doi/10.1109/TII.2022.3210999, Impact Factor = 11.684
Pandhare V., Li X., Miller M., Jia X. and Lee J., Intelligent Diagnostics for Ball Screw Fault Through Indirect Sensing Using Deep Domain Adaptation, IEEE Transactions on Instrumentation and Measurement, 2021, vol. 70, pp. 1-11, https://doi.org/10.1109/TIM.2020.3043512, Impact Factor = 5.332
Negri E., Pandhare V., Cattaneo L., Singh J., Macchi M. and Lee J., Field-synchronized Digital Twin framework for production scheduling with uncertainty, Journal of Intelligent Manufacturing, 2020, vol. 32, pp. 1207–1228, https://doi.org/10.1007/s10845-020-01685-9, Impact Factor = 6.485
Upasani K., Bakshi M., Pandhare V., and Lad B. K., Distributed Maintenance Planning for Industry 4.0, Computers and Industrial Engineering, 2017, vol. 108, pp. 1-14, https://doi.org/10.1016/j.cie.2017.03.027, Impact Factor = 7.180
Lee J., Davari H., Singh J., and Pandhare V., Industrial Artificial Intelligence for Industry 4.0-based Manufacturing Systems. Manufacturing Letters, 2018, vol. 18, pp. 20-23, https://doi.org/10.1016/j.mfglet.2018.09.002, Impact Factor = 5.530
Upasani K., Bakshi M., Pandhare V., and Lad B. K., Memetic Algorithm to Optimize Preventive Maintenance Schedule for a Multi-component Machine, International Journal of Performability Engineering, vol. 12, No. 2, Mar. 2016, pp. 183-195, https://doi.org/10.23940/ijpe.16.2.p183.mag, Impact Factor = 0.437
conferences
Pandhare V., Jia X. and Lee J., Collaborative Prognostics for Machine Fleets Using a Novel Federated Baseline Learner, In Annual Conference of the PHM Society, 2021, vol. 13, no. 1, https://doi.org/10.36001/phmconf.2021.v13i1.2989
Pandhare V., Singh J and Lee J., Convolutional Neural Network Based Rolling-Element Bearing Fault Diagnosis for Naturally Occurring and Progressing Defects Using Time-Frequency Domain Features. 2019 Prognostics and System Health Management Conference (PHM-Paris), May 2019, https://doi.org/10.1109/PHM-Paris.2019.00061
Negri E., Cattaneo L., Pandhare V., Macchi M. and Lee J., Integrating PHM into production scheduling through a Digital Twin-based framework, IFAC Conference on Advanced Maintenance Engineering, Services and Technology (AMEST), vol. 55, no. 19, pp. 31-36, 2022, https://doi.org/10.1016/j.ifacol.2022.09.180
Azamfar M., Jia X., Pandhare V., Singh J., Davari H. and Lee J., Detection and diagnosis of bottle capping failures based on motor current signature analysis. Procedia Manufacturing. vol. 34, pp. 840 – 846, Jan. 2019, https://doi.org/10.1016/j.promfg.2019.06.165
Agrawal N., Pandhare V., and Lad B. K., A Bayesian Algorithm for Cyber-Physical System Realization for Industry 4.0, 3rd International Conference on Business Analytics and Intelligence, Data Centre & Analytics Lab, IIM Bangalore, India, 2015
Pandhare V., Sankhla V. K., and Lad B. K., Design and Development of a Machine Simulator for Cyber-Physical Systems Based Operations Planning, Proceedings of the 57th National Convention of IIIE, SVNIT, India, Nov. 2015, pp. 807-812.
book chapters
Lee, J., Jia, X., Pandhare, V. and Miller, M. Analyzing data obtained via wind farm supervisory control and data acquisition, Utility-Scale Wind Turbines and Wind Farms (IET), p.105, 2021, ISBN: 9781839530999
Lee J., Singh J., Azamfar M. and Pandhare V., Industrial AI and predictive analytics for smart manufacturing systems, Smart Manufacturing (Elsevier), pp. 213-244, 2020, ISBN: 9780128203804