LEADER 04131nam 22005895 450 001 9910878068303321 005 20240727125238.0 010 $a9789819726776$b(electronic bk.) 010 $z9789819726769 024 7 $a10.1007/978-981-97-2677-6 035 $a(MiAaPQ)EBC31570061 035 $a(Au-PeEL)EBL31570061 035 $a(CKB)33469047600041 035 $a(DE-He213)978-981-97-2677-6 035 $a(EXLCZ)9933469047600041 100 $a20240727d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Predictive Maintenance /$fby Min Liu, Ling Li, Feng Yan 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (477 pages) 225 1 $aAdvanced and Intelligent Manufacturing in China,$x2731-5991 311 08$aPrint version: Liu, Min Intelligent Predictive Maintenance Singapore : Springer,c2024 9789819726769 327 $aChapter 1 Introduction -- Chapter 2 Methods of Fault Diagnosis and Prediction -- Chapter 3 Intelligent Predictive Maintenance System and Framework -- Chapter 4 IoT-based Perception Resource Management Framework and Model -- Chapter 5 Wireless Routing Model and Algorithm for Complex Manufacturing Environment -- Chapter 6 Protocol Integration and Design Case of Data Collection -- Chapter 7 Data-driven Fault Diagnosis Methods -- Chapter 8 Data-driven Fault Prediction Model and Methods -- Chapter 9 Maintenance Optimization Scheduling and Decision Making in Intelligent Factories -- Chapter 10 Large-scale Maintenance Service Forecasting and Optimization Configuration -- Chapter 11 Operation Process Control based on Cyber-Physical Systems. 330 $aIn the field of equipment/product operation and maintenance (O&M) services, the new generation of information technologies such as the internet, big data, and artificial intelligence are deeply integrated with O&M services to form an internet-based Maintenance Repair & Operation (MRO) service network and an intelligent service environment. To deal with the uncertainties of multiple collaborative entities and highly random equipment failures in the large-scale MRO network, this book establishes the theory, technology, and methods of Intelligent Predictive Maintenance (IPdM) for the MRO service network through the study of high-quality acquisition and integration of multi-source heterogeneous data, data-driven equipment fault diagnosis and prediction, large-scale maintenance decision-making, feedback, and control. The book systematically elaborates on the emerging theories, technologies, and methods in the field of equipment/product O&M services, covering a wide range of topics with rich contents. It emphasizes both systematic and scientific approaches as well as practicality. It offers both comprehensive and specialized discussions to reflect the strategic deployment and implementation of China's new generation of intelligent manufacturing and artificial intelligence in this field. The basis of English translation of this book, originally in Chinese, was facilitated by artificial intelligence. The content was later revised by the author for accuracy. 410 0$aAdvanced and Intelligent Manufacturing in China,$x2731-5991 606 $aControl engineering 606 $aEngineering$xData processing 606 $aSecurity systems 606 $aControl and Systems Theory 606 $aData Engineering 606 $aSecurity Science and Technology 615 0$aControl engineering. 615 0$aEngineering$xData processing. 615 0$aSecurity systems. 615 14$aControl and Systems Theory. 615 24$aData Engineering. 615 24$aSecurity Science and Technology. 676 $a006.3 700 $aLiu$b Min$f1946-$01772062 702 $aLi$b Ling 702 $aYan$b Feng 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910878068303321 996 $aIntelligent Predictive Maintenance$94271050 997 $aUNINA LEADER 03579oam 22007575 450 001 9910954839503321 005 20240513191234.0 010 $a9786613278852 010 $a9781283278850 010 $a1283278855 010 $a9780821385524 010 $a0821385526 024 7 $a10.1596/978-0-8213-7863-2 035 $a(CKB)2560000000071182 035 $a(EBL)660563 035 $a(OCoLC)811493325 035 $a(SSID)ssj0000470082 035 $a(PQKBManifestationID)12194717 035 $a(PQKBTitleCode)TC0000470082 035 $a(PQKBWorkID)10410041 035 $a(PQKB)11789933 035 $a(Au-PeEL)EBL660563 035 $a(CaPaEBR)ebr10448634 035 $a(CaONFJC)MIL327885 035 $a(The World Bank)2010044905 035 $a(US-djbf)16512427 035 $a(MiAaPQ)EBC660563 035 $a(Perlego)1483814 035 $a(EXLCZ)992560000000071182 100 $a20101021d2011 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHow to engage with the private sector in public-private partnerships in emerging markets /$fEdward Farquharson, Clemencia Torres de Mastle, and E.R. Yescombe ; with Javier Encinas 205 $a1st ed. 210 1$aWashington, DC :$cWorld Bank ;$cPublic-Private Infrastructure Advisory Facility,$d[2011] 210 4$dcopyright 2011. 215 $axvi, 179 pages $cillustrations ;$d23 cm 300 $aDescription based upon print version of record. 311 08$a9780821378632 311 08$a0821378635 320 $aIncludes bibliographical references and index. 327 $aCover; Half Title Page; Title Page; Copyright; Contents; Acknowledgments; About The Authors; Abbreviations; 1: Introduction; 2: Defining Public-Private Partnerships; 3: Setting The Framework; 4: Selecting Projects; 5: Financing Ppp Projects; 6: Preparing Projects For Market; 7: Project Advisers; 8: Managing The Initial Interface With The Private Sector; 9: Managing Procurement; 10: After Signing; 11: Conclusion; Appendixes; References; Index; Back cover 330 $aThere is increasing interest in the use of public-private partnerships in emerging markets. But what does this actually require governments to do if they are to establish successful long term partnerships with private partners and ensure that public partner has the right information, on the right projects, for the right partners at the right time.? This book takes the reader through the steps in the life of a PPP to provide a realistic overview of what is required successfully to engage and manage such a partnership from the early stages. Drawing on experience from both mature and developing P 410 0$aWorld Bank e-Library. 606 $aPublic-private sector cooperation 606 $aInfrastructure (Economics)$xFinance 606 $aPublic works$xFinance 615 0$aPublic-private sector cooperation. 615 0$aInfrastructure (Economics)$xFinance. 615 0$aPublic works$xFinance. 676 $a352.2/9 700 $aFarquharson$b Edward$f1962-$01811877 701 $aTorres de Ma?stle$b Clemencia$f1962-$01811878 701 $aYescombe$b E. R$0871601 712 02$aWorld Bank. 712 02$aPublic-Private Infrastructure Advisory Facility. 801 0$bDLC 801 1$bDLC 801 2$bDLC 906 $aBOOK 912 $a9910954839503321 996 $aHow to engage with the private sector in public-private partnerships in emerging markets$94364028 997 $aUNINA