A digital twin framework for prognostics and health management
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 …
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
The COVID-19 pandemic brings many unexpected disruptions, such as frequently shifting
markets and limited human workforce, to manufacturers. To stay competitive, flexible and …
markets and limited human workforce, to manufacturers. To stay competitive, flexible and …
Towards artificial intelligence at scale in the chemical industry
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 …
artificial intelligence (AI) and machine learning (ML) methods. This article provides a holistic …
Overcoming challenges associated with developing industrial prognostics and health management solutions
The development of prognostics and health management solutions in the manufacturing
industry has lagged behind academic advances due to a number of practical challenges …
industry has lagged behind academic advances due to a number of practical challenges …
An adaptive modeling framework for bearing failure prediction
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 …
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 …
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
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 …
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 …
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 …
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 …
manufacturing operations in the form of maintenance expenditures and lost production. To …