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