03363nam 22005295 450 991037782420332120200706100824.0981-15-2144-110.1007/978-981-15-2144-7(CKB)4100000010348850(MiAaPQ)EBC6109805(DE-He213)978-981-15-2144-7(PPN)242977855(EXLCZ)99410000001034885020200207d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIndustrial AI Applications with Sustainable Performance /by Jay Lee1st ed. 2020.Singapore :Springer Singapore :Imprint: Springer,2020.1 online resource981-15-2143-3 Includes bibliographical references.Chapter1 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.This 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.ManagementIndustrial managementTechnologyInnovation/Technology Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/518000Popular Science in Technologyhttps://scigraph.springernature.com/ontologies/product-market-codes/Q36000Management.Industrial management.Technology.Innovation/Technology Management.Popular Science in Technology.658.0563Lee Jayauthttp://id.loc.gov/vocabulary/relators/aut727253MiAaPQMiAaPQMiAaPQBOOK9910377824203321Industrial AI2528596UNINA