Chao Liu

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Aston University

United Kingdom

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Recent Grants

Grant: Close

Digital twin-enabled intelligent energy management for a Cyber-Physical Factory

Open Date: 2023-04-01

Close Date: 2024-04-01

Grant: Close

Energy efficiency optimisation for Cyber-Physical Production Systems: A hybrid model-data driven approach

Open Date: 2023-03-01

Close Date: 2025-03-01

Grant: Open

advancing Hydrogen (H2) technologies and smart production systems TO decarbonise the GLass and Aluminium SectorS

Open Date: 2023-01-01

Close Date: 2026-12-31

Articles (20)

Advancing Sustainable Glass Manufacturing through Optimized Predictive Maintenance Planning of Critical Forming Components

Article Link

Year:

2025

Integrating large language model and digital twins in the context of industry 5.0: Framework, challenges and opportunities

Article Link

Year:

2025

A Novel Comprehensive Semi-supervised Learning Method for Fault Diagnosis Under Extremely Low Label Rate

Article Link

Year:

2025

Leveraging AI for energy-efficient manufacturing systems: Review and future prospectives

Article Link

Year:

2025

Leveraging Large Language Models to Empower Bayesian Networks for Reliable Human-Robot Collaborative Disassembly Sequence Planning in Remanufacturing

Article Link

Year:

2025

Reliability enhancement of state of health assessment model of lithium-ion battery considering the uncertainty with quantile distribution of deep features

Article Link

Year:

2024

Ensemble Bayesian Network for root cause analysis of product defects via learning from historical production data

Article Link

Year:

2024

The impact of customisation experience and co-design value on the 3D printed specimen

Article Link

Year:

2024

An adaptive multi-neural network model for named entity recognition of Chinese mechanical equipment corpus

Article Link

Year:

2024

GPB and BAC: two novel models towards building an intelligent motor fault maintenance question answering system

Article Link

Year:

2024

A cyber-physical robotic mobile fulfillment system in smart manufacturing: The simulation aspect

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Year:

2023

A novel interpretable predictive model based on ensemble learning and differential evolution algorithm for surface roughness prediction in abrasive water jet polishing

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Year:

2023

Digital twin-assisted imbalanced fault diagnosis framework using subdomain adaptive mechanism and margin-aware regularization

Article Link

Year:

2023

A generic evolutionary ensemble learning framework for surface roughness prediction in manufacturing

Article Link

Year:

2023

Review on robot-assisted polishing: Status and future trends

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Year:

2023

Digitalization and servitization of machine tools in the era of Industry 4.0

Article Link

Year:

2023

Hybrid learning-based digital twin for manufacturing process: Modeling framework and implementation

Article Link

Year:

2023

A Novel Simulated Annealing-Based Hyper-Heuristic Algorithm for Stochastic Parallel Disassembly Line Balancing in Smart Remanufacturing

Article Link

Year:

2023

Compound fault diagnosis for industrial robots based on dual-transformer networks

Article Link

Year:

2023

Task offloading in cloud-edge collaboration-based cyber physical machine tool

Article Link

Year:

2023

Collaborators (4)

Yuchun Xu

Prof

Aston University

UNITED KINGDOM

Yuqian Lu

Lecturer

University of Auckland

NEW ZEALAND

Yu Jia

Aston University

UNITED KINGDOM

Ming Zhang

Aston University

UNITED KINGDOM

Chao Liu

Research Interests

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Recent Grants

Articles (20)

Advancing Sustainable Glass Manufacturing through Optimized Predictive Maintenance Planning of Critical Forming Components

Integrating large language model and digital twins in the context of industry 5.0: Framework, challenges and opportunities

A Novel Comprehensive Semi-supervised Learning Method for Fault Diagnosis Under Extremely Low Label Rate

Leveraging AI for energy-efficient manufacturing systems: Review and future prospectives

Leveraging Large Language Models to Empower Bayesian Networks for Reliable Human-Robot Collaborative Disassembly Sequence Planning in Remanufacturing

Reliability enhancement of state of health assessment model of lithium-ion battery considering the uncertainty with quantile distribution of deep features

Ensemble Bayesian Network for root cause analysis of product defects via learning from historical production data

The impact of customisation experience and co-design value on the 3D printed specimen

An adaptive multi-neural network model for named entity recognition of Chinese mechanical equipment corpus

GPB and BAC: two novel models towards building an intelligent motor fault maintenance question answering system

A cyber-physical robotic mobile fulfillment system in smart manufacturing: The simulation aspect

A novel interpretable predictive model based on ensemble learning and differential evolution algorithm for surface roughness prediction in abrasive water jet polishing

Digital twin-assisted imbalanced fault diagnosis framework using subdomain adaptive mechanism and margin-aware regularization

A generic evolutionary ensemble learning framework for surface roughness prediction in manufacturing

Review on robot-assisted polishing: Status and future trends

Digitalization and servitization of machine tools in the era of Industry 4.0

Hybrid learning-based digital twin for manufacturing process: Modeling framework and implementation

A Novel Simulated Annealing-Based Hyper-Heuristic Algorithm for Stochastic Parallel Disassembly Line Balancing in Smart Remanufacturing

Compound fault diagnosis for industrial robots based on dual-transformer networks

Task offloading in cloud-edge collaboration-based cyber physical machine tool

Collaborators (4)

Yuchun Xu

Yuqian Lu

Yu Jia

Ming Zhang

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