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IEOR e-seminar by Dr. Vijay Kumar Manupati

Title: Semi-Double-loop machine learning based CPS approach for predictive maintenance in manufacturing system based on machine status indications.

Speaker: Dr. Vijay Kumar Manupati, Assistant Professor, NIT Warangal.

Date and Time: Tuesday, February 1 2022, 2:15 pm to 3:15 pm

Abstract: Applications of predictive maintenance assisted by machine learning (ML) till date involve condition monitoring by utilization of sensors for multiple parameters. However, the state-of-the-art modelling and applications of the predictive maintenance have some drawbacks, from which three were motivation for the model developed and presented in this work. Based on the history of the machine statuses, learning algorithms learn the maintenance patterns, providing the maintenance predictive models, i.e. the maintenance prognosis. Two original and innovative contributions: 1) the model of machine learning (ML) based approach for predictive maintenance in manufacturing system based on machine status indications only, and 2) semi-Double-loop machine learning-based intelligent Cyber-Physical System (I-CPS) architecture as a higher-level environment for ML-based predictive maintenance execution. Considering only the machine status information provides rapid and very low investment-based implementation of an advanced predictive maintenance paradigm, especially important for SMEs. The model is validated in real-life situations, exploring different learning algorithms and strategies for learning maintenance predictive models. The findings show a very high level of prediction accuracy.
 

Speaker Bio: Dr. Vijay Kumar Manupati is currently an Assistant Professor in the Department of Mechanical Engineering, National Institute of Technology (NIT) Warangal. He earned his doctorate in the Industrial and Systems Engineering Department from the Indian Institute of Technology (IIT) Kharagpur in the year 2014. His research interests include Intelligent manufacturing systems, Cyber-Physical Systems, Prognostics and Diagnostics of Manufacturing Systems, Sustainable and Resilient Supply Chains, and Health care systems. He has published 32+ peer-reviewed articles which include prestigious Journals like Transportation research Part-E, CIRP-Annals Manufacturing Technology, International Journal of Production Research, Computers and Industrial Engineering, International Journal of Computer Integrated Manufacturing, etc. and 36 International Conference papers, 21 Book chapters and edited 5 research books. His h-index is 14 with an i-10 index of 17. He is acting as an international reviewer for more than 30+ peer-reviewed Journals. Currently, he is acting as an Editorial Review Board member of International Journal of Web Portals, and special issue editor of International Journal of Advanced Operations Management and topic editor for Journals Sensors and Applied sciences. He received Grants from the Department of Science and Technology (DST) and was a recipient of the Young Engineers Award from the Institute of Engineers India. He is a member of the Institute of Industrial and Systems Engineering (IISE), Institute of Engineers (IEI) India, a Life Member of the International Association of Engineers, and also acts as a technical and scientific committee member of various international conferences.

 

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