Generative manufacturing systems using diffusion models and ChatGPT

no code implementations • 2 May 2024 • Xingyu Li, Fei Tao, Wei Ye, Aydin Nassehi, John W. Sutherland

In this study, we introduce Generative Manufacturing Systems (GMS) as a novel approach to effectively manage and coordinate autonomous manufacturing assets, thereby enhancing their responsiveness and flexibility to address a wide array of production objectives and human preferences.

Decision Making

Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets

no code implementations • 13 Jun 2022 • Mustafa Abdallah, Byung-Gun Joung, Wo Jae Lee, Charilaos Mousoulis, John W. Sutherland, Saurabh Bagchi

In this paper, we analyze four datasets from sensors deployed from manufacturing testbeds.

Anomaly Detection Time Series +2

Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems

no code implementations • 11 Feb 2021 • Mustafa Abdallah, Wo Jae Lee, Nithin Raghunathan, Charilaos Mousoulis, John W. Sutherland, Saurabh Bagchi

While there is a rich literature on anomaly detection in many IoT-based systems, there is no existing work that documents the use of ML models for anomaly detection in digital agriculture and in smart manufacturing systems.

Anomaly Detection Time Series Analysis +1