Angielski
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. Advanced Industries such as automotive, aerospace, health care, semiconductors, and industrial manufacturing could harness the power of Industrial AI to gain insight into the health condition and consistency of their machines and processes and use that insight to maximize their uptime, productivity and efficiency of their operations. In terms of predictive maintenance, Industrial AI can detect incipient changes in the system and determine the expected time to system failure; allowing them to optimize maintenance tasks in real time, maximizing the useful life of their equipment while still avoiding disruption to operations.
