A digital twin framework for prognostics and health management

M Toothman, B Braun, SJ Bury, J Moyne, DM Tilbury… - Computers in …, 2023 - Elsevier
Despite rapid advances in modeling and analysis technology, the manufacturing industry
has been slow to implement prognostic and health management strategies. A cause of this …

Dynamic distributed decision-making for resilient resource reallocation in disrupted manufacturing systems

M Bi, I Kovalenko, DM Tilbury… - International Journal of …, 2024 - Taylor & Francis
The COVID-19 pandemic brings many unexpected disruptions, such as frequently shifting
markets and limited human workforce, to manufacturers. To stay competitive, flexible and …

Towards artificial intelligence at scale in the chemical industry

LH Chiang, B Braun, Z Wang, I Castillo - AIChE Journal, 2022 - Wiley Online Library
Abstract In the Industry 4.0 era, the chemical industry is embracing broad adoption of
artificial intelligence (AI) and machine learning (ML) methods. This article provides a holistic …

Overcoming challenges associated with developing industrial prognostics and health management solutions

M Toothman, B Braun, SJ Bury, J Moyne, DM Tilbury… - Sensors, 2023 - mdpi.com
The development of prognostics and health management solutions in the manufacturing
industry has lagged behind academic advances due to a number of practical challenges …

An adaptive modeling framework for bearing failure prediction

Y Zhao, M Toothman, J Moyne, K Barton - Electronics, 2022 - mdpi.com
Rolling element bearings are a common component in rotating equipment, a class of
machines that is essential in a wide range of industries. Detecting and predicting bearing …

Self‐optimization for smelting process of fused magnesium furnace based on operation status assessment

D Niu, G Zhang, M Jia - The Canadian Journal of Chemical …, 2022 - Wiley Online Library
Based on operation status assessment and self‐optimizing regulation, an optimization
strategy for the smelting process of a fused magnesium furnace is proposed to improve the …

Fault diagnosis of rotating machinery based on domain adversarial training of neural networks

Y Di, R Yang, M Huang - 2021 IEEE 30th International …, 2021 - ieeexplore.ieee.org
With the increased requirement of reliable facility operations of rotating machinery, the
prediction and diagnosis of fault signals are crucial to improve the safety of equipment. Fault …

Distributed decision-making in disrupted industrial environments using a multi-agent framework

M Bi - 2023 - deepblue.lib.umich.edu
The modern industrial environment is becoming more complex and dynamic due to
customized and shifting market demands, highly connected businesses, and frequently …

Towards safe and equitable intelligent transportation systems: Leveraging stochastic control theory in attack detection

M Porter - 2021 - deepblue.lib.umich.edu
Intelligent transportation systems (ITSs) promise to significantly reduce traffic congestion
while simultaneously improving road user safety. To accomplish this, ITSs make real-time …

Adaptive, State-Based Modeling Applied to Prognostics and Health Management of Industrial Rotating Equipment

M Toothman - 2023 - deepblue.lib.umich.edu
Unplanned downtime due to equipment health problems imposes significant costs on many
manufacturing operations in the form of maintenance expenditures and lost production. To …