Satish Kumar
Satish Kumar
Symbiosis institute of Technology, Symbiosis International (Deemed University)
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Sustainable development of smart manufacturing driven by the digital twin framework: A statistical analysis
V Warke, S Kumar, A Bongale, K Kotecha
Sustainability 13 (18), 10139, 2021
Data-driven remaining useful life estimation for milling process: sensors, algorithms, datasets, and future directions
S Sayyad, S Kumar, A Bongale, P Kamat, S Patil, K Kotecha
IEEE Access 9, 110255-110286, 2021
Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach: A review of two decades of research
S Gawde, S Patil, S Kumar, P Kamat, K Kotecha, A Abraham
Engineering Applications of Artificial Intelligence 123, 106139, 2023
Enhancing surface fault detection using machine learning for 3D printed products
V Kadam, S Kumar, A Bongale, S Wazarkar, P Kamat, S Patil
Applied System Innovation 4 (2), 34, 2021
Analysis of the dynamic performance of a complex ultrasonic horn for application in friction stir welding
S Kumar, W Ding, Z Sun, CS Wu
The International Journal of Advanced Manufacturing Technology 97, 1269-1284, 2018
Data augmentation using Variational Autoencoders for improvement of respiratory disease classification
J Saldanha, S Chakraborty, S Patil, K Kotecha, S Kumar, A Nayyar
Plos one 17 (8), e0266467, 2022
A low-cost multi-sensor data acquisition system for fault detection in fused deposition modelling
S Kumar, T Kolekar, S Patil, A Bongale, K Kotecha, A Zaguia, C Prakash
Sensors 22 (2), 517, 2022
Deep cryogenic treatment of AISI M2 tool steel and optimisation of its wear characteristics using Taguchi‘s approach
S Kumar, M Nagraj, A Bongale, N Khedkar
Arabian Journal for Science and Engineering 43, 4917-4929, 2018
Explainable artificial intelligence for intrusion detection system
S Patil, V Varadarajan, SM Mazhar, A Sahibzada, N Ahmed, O Sinha, ...
Electronics 11 (19), 3079, 2022
Wear rate optimization of Al/SiCnp/E-glass fibre hybrid metal matrix composites using Taguchi method and genetic algorithm and development of wear model using artificial neural …
A Bongale, S Kumar, TS Sachit, P Jadhav
Materials Research Express, 2018
Fault detection in induction motor using time domain and spectral imaging-based transfer learning approach on vibration data
S Misra, S Kumar, S Sayyad, A Bongale, P Jadhav, K Kotecha, ...
Sensors 22 (21), 8210, 2022
Deep learning-based anomaly-onset aware remaining useful life estimation of bearings
PV Kamat, R Sugandhi, S Kumar
PeerJ Computer Science 7, e795, 2021
Influence of deep cryogenic treatment on dry sliding wear behaviour of AISI D3 die steel
S Kumar, M Nagaraj, NK Khedkar, A Bongale
Materials Research Express 5 (11), 116525, 2018
A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion
S Gawde, S Patil, S Kumar, K Kotecha
Artificial Intelligence Review 56 (5), 4711-4764, 2023
Demystifying artificial intelligence based digital twins in manufacturing-a bibliometric analysis of trends and techniques
S Kumar, A Bongale, S Patil, AM Bongale, P Kamat, K Kotecha
Libr. Philos. Pract 2020, 1-21, 2020
Optimization and modeling of material removal rate in wire-EDM of silicon particle reinforced Al6061 composite
D Doreswamy, AM Bongale, M Piekarski, A Bongale, S Kumar, ...
Materials 14 (21), 6420, 2021
Estimating remaining useful life in machines using artificial intelligence: A scoping review
S Sayyad, S Kumar, A Bongale, AM Bongale, S Patil
Libr. Philos. Pract 2021, 1-26, 2021
Explainable AI for bearing fault prognosis using deep learning techniques
DC Sanakkayala, V Varadarajan, N Kumar, Karan, G Soni, P Kamat, ...
Micromachines 13 (9), 1471, 2022
Issues with decision making methods for supplier segmentation in supplier relationship management: A literature review
K Shiralkar, A Bongale, S Kumar
Materials today: proceedings 50, 1786-1792, 2022
Effect of deep cryogenic treatment on the mechanical properties of AISI D3 tool steel
S Kumar, M Nagaraj, A Bongale, NK Khedkar
International Journal of Materials Engineering Innovation 10 (2), 98-113, 2019
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