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010   $a981-15-2144-1
024 7 $a10.1007/978-981-15-2144-7
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035   $a(MiAaPQ)EBC6109805
035   $a(DE-He213)978-981-15-2144-7
035   $a(PPN)242977855
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100   $a20200207d2020      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aIndustrial AI $eApplications with Sustainable Performance /$fby Jay Lee
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource
311   $a981-15-2143-3 
320   $aIncludes bibliographical references.
327   $aChapter1 Introduction: The Development and Application of AI Technology -- Chapter2 Definition and Significance of Industrial AI -- Chapter3 Killer Applications and Enabling Systems of Artificial Intelligence -- Chapter4 How to Establish Industrial Intelligence Technology and Ability.
330   $aThis book introduces Industrial AI in multiple dimensions. Industrial AI is a systematic discipline which focuses on developing, validating and deploying various machine learning algorithms for industrial applications with sustainable performance. Combined with the state-of-the-art sensing, communication and big data analytics platforms, a systematic Industrial AI methodology will allow integration of physical systems with computational models. The concept of Industrial AI is in infancy stage and may encompass the collective use of technologies such as Internet of Things, Cyber-Physical Systems and Big Data Analytics under the Industry 4.0 initiative where embedded computing devices, smart objects and the physical environment interact with each other to reach intended goals. A broad range of Industries including automotive, aerospace, healthcare, semiconductors, energy, transportation, mining, construction, and industrial automation could harness the power of Industrial AI to gain insights into the invisible relationship of the operation conditions and further use that insight to optimize their uptime, productivity and efficiency of their operations. In terms of predictive maintenance, Industrial AI can detect incipient changes in the system and predict the remains useful life and further to optimize maintenance tasks to avoid disruption to operations.
606   $aManagement
606   $aIndustrial management
606   $aTechnology
606   $aInnovation/Technology Management$3https://scigraph.springernature.com/ontologies/product-market-codes/518000
606   $aPopular Science in Technology$3https://scigraph.springernature.com/ontologies/product-market-codes/Q36000
615  0$aManagement.
615  0$aIndustrial management.
615  0$aTechnology.
615 14$aInnovation/Technology Management.
615 24$aPopular Science in Technology.
676   $a658.0563
700   $aLee$b Jay$4aut$4http://id.loc.gov/vocabulary/relators/aut$0727253
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910377824203321
996   $aIndustrial AI$92528596
997   $aUNINA