ABSTRACT
The genesis of artificial intelligence, edge and fog computing has radiated their scope to harmonize with any sector, ranging from medical to manufacturing industries. Amongst others, the manufacturing industries deserve special mention since automation in the manufacturing sector explores new business opportunities, which is one of the primal goals of Industry 4.0. Smart manufacturing is the integration of diverse technological solutions to build an intelligent manufacturing ecosystem through the amalgamation of customization, predictive maintenance, digital twin, web-based systems, open connectivity, etc. Predictive maintenance is a buzzword in smart manufacturing, which is a proactive maintenance strategy that schedules maintenance activities by fault prognosis. Since the faults and failures are forecasted well before their occurrence, it saves money and time. Implementing predictive maintenance programs in manufacturing sectors requires condition monitoring of equipment's critical variables and then deploying intelligent techniques to predict the occurrence of failure. The data processing and predictions in predictive maintenance can be ventured as Edge AI techniques, which will be more feasible options for small- and medium-scale industries.
This chapter details the importance of Industry 4.0, the Industrial Revolution, and scope of Edge AI–based technologies. The notion of smart manufacturing and predictive maintenance is also discussed. A robust and versatile predictive analytic framework is proposed in this chapter, which provisions the integration of heterogeneous sensor data and predicting the state of machines.
