Predictive Analytics for Mechanical Engineering: A Beginners Guide / SpringerBriefs in Applied Sciences and Technology (PDF)
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This book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book.
Dr. Pravin P. Hujare is working as an associate professor in Department of Mechanical Engineering, Vishwakarma Institute of Information Technology, Pune, India. He has done Ph.D. in Noise & Vibration Control from COEP, Savitribai Phule Pune University, Pune. He has 24 + years of teaching and research experience. He obtained M.E. (Mechanical Engineering) degree from University of Mumbai. He has 15 patents and 35+ research publications in national and international conferences and journals. He has received research funding for the project "Investigations on Damping Performance of Segmented Passive Constrained Layer Damping Treatment" by SPPU, Pune. He has presented a research article in SAE Noise and Vibration International Conference, Grand Rapids. USA. His research interests are machine design, mechanical vibration and noise control, machine learning and data analytics.
Dr. Gitanjali R. Shinde has overall 14 years of experience and presently working as an associate professor in the Department of Computer Engineering,
- Autoren: Parikshit N. Mahalle , Pravin P. Hujare , Gitanjali Rahul Shinde
- 2023, 1st ed. 2023, 97 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 9819948509
- ISBN-13: 9789819948505
- Erscheinungsdatum: 16.08.2023
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