03362nam 22006735 450 991074114960332120251009094236.09789819948505(ebook)981994850910.1007/978-981-99-4850-5(MiAaPQ)EBC30703015(Au-PeEL)EBL30703015(DE-He213)978-981-99-4850-5(PPN)272263419(CKB)27991714700041(EXLCZ)992799171470004120230816d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPredictive Analytics for Mechanical Engineering: A Beginners Guide /by Parikshit N. Mahalle, Pravin P. Hujare, Gitanjali Rahul Shinde1st ed. 2023.Singapore :Springer Nature Singapore :Imprint: Springer,2023.1 online resource (107 pages) illustrationsSpringerBriefs in Computational Intelligence,2625-3712Print version: Mahalle, Parikshit N. Predictive Analytics for Mechanical Engineering: a Beginners Guide Singapore : Springer Singapore Pte. Limited,c2023 9789819948499 Includes bibliographical references.1. Introduction to Predictive Analytics -- 2. Data Acquisition and Preparation -- 3. Intelligent Approaches -- 4. Predictive Maintenance -- 5. Predictive Maintenance for Mechanical Design System -- 6. Predictive Maintenance for Manufacturing -- 7. Conclusions.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.SpringerBriefs in Computational Intelligence,2625-3712Computational intelligenceQuantitative researchMechanical engineeringInternet of thingsComputational IntelligenceData Analysis and Big DataMechanical EngineeringInternet of ThingsComputational intelligence.Quantitative research.Mechanical engineering.Internet of things.Computational Intelligence.Data Analysis and Big Data.Mechanical Engineering.Internet of Things.658.4038028563Mahalle Parikshit N.947748Hujare Pravin P.Shinde Gitanjali Rahul1983-MiAaPQMiAaPQMiAaPQBOOK9910741149603321Predictive Analytics for Mechanical Engineering3558327UNINA