000 04475nam a22005895i 4500
001 978-981-97-2677-6
003 DE-He213
005 20251030112654.0
007 cr nn 008mamaa
008 240727s2024 si | s |||| 0|eng d
020 _a9789819726776
_9978-981-97-2677-6
024 7 _a10.1007/978-981-97-2677-6
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aGPFC
_2bicssc
072 7 _aTEC007000
_2bisacsh
072 7 _aTJFM
_2thema
100 1 _aLiu, Min.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981402
245 1 0 _aIntelligent Predictive Maintenance
_h[electronic resource] /
_cby Min Liu, Ling Li, Feng Yan.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVIII, 468 p. 216 illus., 137 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvanced and Intelligent Manufacturing in China,
_x2731-5991
505 0 _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.
520 _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.
650 0 _aControl engineering.
650 0 _aEngineering
_xData processing.
650 0 _aSecurity systems.
_966821
650 1 4 _aControl and Systems Theory.
_965868
650 2 4 _aData Engineering.
_966059
650 2 4 _aSecurity Science and Technology.
_966822
700 1 _aLi, Ling.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981403
700 1 _aYan, Feng.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981404
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819726769
776 0 8 _iPrinted edition:
_z9789819726783
776 0 8 _iPrinted edition:
_z9789819726790
830 0 _aAdvanced and Intelligent Manufacturing in China,
_x2731-5991
_969250
856 4 0 _uhttps://doi.org/10.1007/978-981-97-2677-6
912 _aZDB-2-INR
912 _aZDB-2-SXIT
999 _c61976
_d61976