Digital Transformation of Air Compressor Utilization Based on AI, ML in Smart Factory Management

Digital transformation is not almost disruption or generation. It is approximately cost, people, optimization and the functionality to rapidly adapt whilst such is needed via a wise use of technology and facts. It leverages technology to make charge for numerous stakeholders, innovate and gather the skills to rapidly adapt to changing conditions. With the extensive deployment of sensors, IOT and Artificial Intelligence there's a growing need of handling big manufacturing data characterized by high velocity, high variety, and high volume. Machine learning provides advanced analytics tools for processing and analyzing large manufacturing data. It usually presents a comprehensive survey of commonly used deep learning algorithms and discusses their applications toward making manufacturing “smart”. The development of artificial intelligence with machine learning technologies and their benefits are firstly discussed. Subsequently, computational methods supported machine learning are presented specially aim to improve system performance in manufacturing. Several parameters of smart manufacturing have been analyzed using deep learning models and corresponding results have been discussed. At the end, the emerging things of research on predictive data analysis of a smart manufacturing system using machine learning is highlighted, and future trends and challenges associated with deep learning for smart manufacturing are summarized.