Mutual-cognition for proactive human–robot collaboration: A mixed reality-enabled visual reasoning-based method

S Li, Y You, P Zheng, XV Wang, L Wang - IISE Transactions, 2024 - Taylor & Francis
Abstract Human-Robot Collaboration (HRC) is key to achieving the flexible automation
required by the mass personalization trend, especially towards human-centric intelligent …

Data-level transfer learning for degradation modeling and prognosis

A Fallahdizcheh, C Wang - Journal of Quality Technology, 2023 - Taylor & Francis
The typical way to conduct data-driven prognosis is to train a degradation model with
historical data, then apply the model to predict failure for in-service units. Most existing works …

Variational inference-based transfer learning for profile monitoring with incomplete data

A Fallahdizcheh, C Wang - IISE Transactions, 2024 - Taylor & Francis
Profile monitoring is a widely used tool in quality control. The rapid development of sensor
technology has created unprecedented opportunities for multi-channel profile data …

High-Dimensional Cross-Plant Process Monitoring With Data Privacy: A Federated Hierarchical Sparse PCA Approach

K Wang, Z Song - IEEE Transactions on Industrial Informatics, 2023 - ieeexplore.ieee.org
Modern large-scale manufacturing systems typically involve joint efforts of multiple plants to
finish the final product. The advances of information technologies, on the other hand, enable …

A partial domain generalization method for modeling multiple multistage manufacturing processes

D Li, K Wang - IISE Transactions, 2024 - Taylor & Francis
In complex manufacturing systems, materials are processed by machines sequentially
before final products are obtained, forming a Multistage Manufacturing Process (MMP). In a …

Multi-node system modeling and monitoring with extended directed graphical models

D Li, K Wang - Journal of Quality Technology, 2024 - Taylor & Francis
Complex manufacturing systems usually contain a large number of variables. Dominated by
certain engineering mechanisms, these variables show complicated relationships that …

Statistical Transfer Learning for Modeling, Monitoring, and Prognosis of Manufacturing Systems

A Fallahdizcheh - 2023 - search.proquest.com
Thanks to the advances in data collection and storage systems, data-rich environments are
widely available. Examples of these data acquisition systems are GM's OnStar, Amazon Go …

Control of key performance indicators of manufacturing production systems through pair-copula modeling and stochastic optimization

C Wang, S Zhou - Journal of Manufacturing Systems, 2021 - Elsevier
Key performance indicators (KPIs) modeling and control is important for efficient design and
operation of complex manufacturing production systems. This paper proposes to implement …