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010   $a9789819948505$b(ebook)
010   $a9819948509
024 7 $a10.1007/978-981-99-4850-5
035   $a(MiAaPQ)EBC30703015
035   $a(Au-PeEL)EBL30703015
035   $a(DE-He213)978-981-99-4850-5
035   $a(PPN)272263419
035   $a(CKB)27991714700041
035   $a(EXLCZ)9927991714700041
100   $a20230816d2023      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aPredictive Analytics for Mechanical Engineering: A Beginners Guide /$fby Parikshit N. Mahalle, Pravin P. Hujare, Gitanjali Rahul Shinde
205   $a1st ed. 2023.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023.
215   $a1 online resource (107 pages) $cillustrations
225 1 $aSpringerBriefs in Computational Intelligence,$x2625-3712
311 08$aPrint version: Mahalle, Parikshit N. Predictive Analytics for Mechanical Engineering: a Beginners Guide Singapore : Springer Singapore Pte. Limited,c2023 9789819948499 
320   $aIncludes bibliographical references.
327   $a1. 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.
330   $aThis book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book.
410  0$aSpringerBriefs in Computational Intelligence,$x2625-3712
606   $aComputational intelligence
606   $aQuantitative research
606   $aMechanical engineering
606   $aInternet of things
606   $aComputational Intelligence
606   $aData Analysis and Big Data
606   $aMechanical Engineering
606   $aInternet of Things
615  0$aComputational intelligence.
615  0$aQuantitative research.
615  0$aMechanical engineering.
615  0$aInternet of things.
615 14$aComputational Intelligence.
615 24$aData Analysis and Big Data.
615 24$aMechanical Engineering.
615 24$aInternet of Things.
676   $a658.4038028563
700   $aMahalle$b Parikshit N.$0947748
702   $aHujare$b Pravin P.
702   $aShinde$b Gitanjali Rahul$f1983-
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910741149603321
996   $aPredictive Analytics for Mechanical Engineering$93558327
997   $aUNINA