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Abhishek D. Patange, PhD
Abhishek D. Patange, PhD
Data Science & AI Specialist | ABB | APM Predict Genix Industrial Digitization suit
Подтвержден адрес электронной почты в домене in.abb.com
Название
Процитировано
Процитировано
Год
A machine learning approach for vibration-based multipoint tool insert health prediction on vertical machining centre (VMC)
AD Patange, R Jegadeeshwaran
Measurement 173, 108649, 2021
992021
A Bayesian optimized discriminant analysis model for condition monitoring of face milling cutter using vibration datasets
NS Bajaj, AD Patange, R Jegadeeshwaran, KA Kulkarni, RS Ghatpande, ...
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2022
522022
Application of bayesian family classifiers for cutting tool inserts health monitoring on CNC milling
AD Patange, R Jegadeeshwaran
International Journal of Prognostics and Health Management 11 (2), 2020
502020
Milling cutter condition monitoring using machine learning approach
AD Patange, R Jegadeeshwaran, NC Dhobale
IOP Conference Series: Materials Science and Engineering 624 (1), 012030, 2019
492019
Application of metaheuristic optimization based support vector machine for milling cutter health monitoring
NS Bajaj, AD Patange, R Jegadeeshwaran, SS Pardeshi, KA Kulkarni, ...
Intelligent Systems with Applications 18, 200196, 2023
472023
Prediction and classification of tool wear and its state in sustainable machining of Bohler steel with different machine learning models
ME Korkmaz, MK Gupta, M Kuntoğlu, AD Patange, NS Ross, H Yılmaz, ...
Measurement 223, 113825, 2023
432023
Comparison of tool wear, surface roughness, cutting forces, tool tip temperature, and chip shape during sustainable turning of bearing steel
H Demirpolat, R Binali, AD Patange, SS Pardeshi, S Gnanasekaran
Materials 16 (12), 4408, 2023
422023
Application of machine learning for tool condition monitoring in turning
AD Patange, R Jegadeeshwaran, NS Bajaj, AN Khairnar, NA Gavade
Sound Vib 56, 127-145, 2022
402022
Development of 12 channel temperature acquisition system for heat exchanger using MAX6675 and Arduino interface
SP Nalavade, AD Patange, CL Prabhune, SS Mulik, MS Shewale
Innovative Design, Analysis and Development Practices in Aerospace and …, 2019
402019
Augmentation of decision tree model through hyper-parameters tuning for monitoring of cutting tool faults based on vibration signatures
AD Patange, SS Pardeshi, R Jegadeeshwaran, A Zarkar, K Verma
Journal of Vibration Engineering & Technologies 11 (8), 3759-3777, 2023
362023
Review on tool condition classification in milling: A machine learning approach
AD Patange, R Jegadeeshwaran
Materials Today: Proceedings 46, 1106-1115, 2021
342021
Deep learning algorithms for tool condition monitoring in milling: A review
SS Patil, SS Pardeshi, AD Patange, R Jegadeeshwaran
Journal of Physics: Conference Series 1969 (1), 012039, 2021
332021
Development of deep belief network for tool faults recognition
AP Kale, RM Wahul, AD Patange, R Soman, W Ostachowicz
Sensors 23 (4), 1872, 2023
312023
Improving program outcome attainments using project based learning approach for: UG course-mechatronics
AD Patange, AK Bewoor, SP Deshmukh, SS Mulik, SS Pardeshi, ...
Journal of Engineering Education Transformations 33 (1), 1-8, 2019
302019
Novel machine health monitoring system
MS Shewale, SS Mulik, SP Deshmukh, AD Patange, HB Zambare, ...
Proceedings of the 2nd International Conference on Data Engineering and …, 2019
302019
A white-box SVM framework and its swarm-based optimization for supervision of toothed milling cutter through characterization of spindle vibrations
TY Deo, AD Patange, SS Pardeshi, R Jegadeeshwaran, AN Khairnar, ...
arXiv preprint arXiv:2112.08421, 2021
282021
Energy saving by parametric optimization and advanced lubri-cooling techniques in the machining of composites and superalloys: A systematic review
R Binali, AD Patange, M Kuntoğlu, T Mikolajczyk, E Salur
Energies 15 (21), 8313, 2022
262022
Design of bagged tree ensemble for carbide coated inserts fault diagnosis
HS Khade, AD Patange, SS Pardeshi, R Jegadeeshwaran
Materials Today: Proceedings 46, 1283-1289, 2021
262021
Data driven cutting tool fault diagnosis system using machine learning approach: a review
NR Tambake, BB Deshmukh, AD Patange
Journal of Physics: Conference Series 1969 (1), 012049, 2021
252021
Supervision of carbide tool condition by training of vibration-based statistical model using boosted trees ensemble
A Khairnar, A Patange, S Pardeshi, R Jegadeeshwaran
International Journal of Performability Engineering 17 (2), 229, 2021
242021
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