The Applications of AI in Smart Technologies and Manufacturing

Abstract

Smart manufacturing has been driven forward by intelligentization, a major industrial production trend over the last several decades, with the help of AI technology. The modernization of AI by various modern businesses has given birth to a novel concept known as Industrial Artificial Intelligence (IAI), which serves as the technological basis for smart manufacturing. Artificial intelligence (AI) driven manufacturing improves several parts of closed-loop production chains, from production processes to product delivery. Considerably, the field of production monitoring has profited from IAI's incorporation of domain expertise. Modern artificial intelligence techniques, including adversarial training, transfer learning, and deep neural networks, are widely used in manufacturing for diagnostic and predictive maintenance purposes. IAI is widely believed to be a crucial technology that will propel industrial production forward in the future. Artificial intelligence (AI) driven manufacturing and its monitoring applications are thoroughly reviewed in this study. More precisely, it summarizes the primary IAI technologies and discusses their everyday use cases concerning the three primary production monitoring facets of problem detection, residual useful life forecast, and quality inspection. The current issues and potential avenues for IAI research are also covered. By incorporating them into the overview, this study further presents the papers on Monitoring with AI in Smart Manufacturing in this targeted part.