AI-Driven Maintenance and Failure Prediction in Smart Connected Systems

The typical introduction opens by placing AI-driven maintenance and failure prediction within smart connected systems (SCSs) in a broad context. It then offers a focused background on definitions, characteristics, and applications of SCSs. For further context, see Enterprise Applications of Smart Connected Systems and Enterprise Applications of Smart Connected Systems, which explore SCSs in greater detail.

Smart connected systems represent a new wave of innovation combining smart machines with advanced data analytics and cloud capabilities, enabled by sensor technology and enhanced computing resources. Consequently, modern smart machines are highly intelligent and capable of communication and task execution in dynamic settings. Beyond sensing and networking, SCSs feature connectivity—encompassing people, processes, data, and things—and the use of big-data analytics and cloud computing for machine monitoring, improved decision-making, increased intelligence, and context-aware behavior. These features collectively constitute a foundational building block of the Fourth Industrial Revolution by enabling the digitization and networking of advanced smart machines with people and business processes.