Industrial AI - Applications with Sustainable Performance (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	February 2021
First published:	2020
Authors:	Jay Lee
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	162
Edition:	1st ed. 2020
ISBN-13:	978-981-15-2146-1
Categories:	Books > Science & Mathematics > Science: general issues > Popular science Books > Business & Economics > Business & management > Management of specific areas > Research & development management Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	981-15-2146-8
Barcode:	9789811521461

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