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Industrial AIapplications with susta...

Lee, Jay.

Industrial AIapplications with sustainable performance /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Industrial AIby Jay Lee.
其他題名:	applications with sustainable performance /
作者:	Lee, Jay.
出版者:	Singapore :Springer Singapore :2020.
面頁冊數:	xx, 162 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Artificial intelligenceIndustrial applications.
電子資源:	https://doi.org/10.1007/978-981-15-2144-7
ISBN:	9789811521447$q(electronic bk.)

Industrial AIapplications with sustainable performance /
Lee, Jay.

Industrial AIapplications with sustainable performance /[electronic resource] :by Jay Lee. - Singapore :Springer Singapore :2020. - xx, 162 p. :ill., digital ;24 cm.

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.

ISBN: 9789811521447$q(electronic bk.)

Standard No.: 10.1007/978-981-15-2144-7doiSubjects--Topical Terms:

524554
Artificial intelligence
--Industrial applications.

LC Class. No.: TA347.A78 / L445 2020

Dewey Class. No.: 620.028563

Industrial AIapplications with sustainable performance /
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