Novel Topological Machine Learning Methodology for Stream-of-Quality Modeling in Smart Manufacturing

arXiv:2404.14728v1 Announce Type: new
Abstract: This paper presents a topological analytics approach within the 5-level Cyber-Physical Systems (CPS) architecture for the Stream-of-Quality assessment in smart manufacturing. The proposed methodology not only enables real-time quality monitoring and predictive analytics but also discovers the hidden relationships between quality features and process parameters across different manufacturing processes. A case study in additive manufacturing was used to demonstrate the feasibility of the proposed methodology to maintain high product quality and adapt to product quality …

abstract analytics architecture arxiv assessment cs.cy cs.lg cyber features hidden machine machine learning manufacturing methodology modeling monitoring novel paper predictive predictive analytics process quality real-time relationships smart systems type