All Outputs (37)

Improving the development and reusability of Industrial AI through Semantic Models (2024)
Conference Proceeding

Despite some of the success of AI, particularly machine learning, in industrial applications such as condition monitoring, quality inspection and asset control , solutions are typically bespoke and not robust in the long term. There is a considerable... Read More about Improving the development and reusability of Industrial AI through Semantic Models.

Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision (2023)
Conference Proceeding

In the evolving digital landscape, Small and Medium-sized Enterprises (SMEs) grapple with the intricate task of managing vast manufacturing data while operating within budgetary constraints. Addressing this dichotomy, our research introduces an innov... Read More about Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision.

Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling (2023)
Conference Proceeding

Resilience to supply chain disruptions and to changing product volumes and specifications are currently major challenges for the manufacturing sector. To maintain quality and productivity, manufacturers need to be able to respond to disruption using... Read More about Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling.

Elastic manufacturing systems: A system view on operations, firm, and supply chain resilience (2023)
Conference Proceeding

'Black swan' events-such as military conflicts, pandemics, and semiconductor crises-drastically change product volume and mix patterns and shorten how long manufacturers have to cost-effectively respond to them. This is a particular challenge for hig... Read More about Elastic manufacturing systems: A system view on operations, firm, and supply chain resilience.

Automating the Generation of MBD-Driven Assembly Work Instruction Documentation for Aircraft Components (2022)
Conference Proceeding

The classical approach to the creation of assembly work instructions for high value, complex products is time-consuming and prone to error. It requires a process engineer to write the work instructions step-by-step and manually insert specific techni... Read More about Automating the Generation of MBD-Driven Assembly Work Instruction Documentation for Aircraft Components.

A Framework for Manufacturing System Reconfiguration based on Artificial Intelligence and Digital Twin (2022)
Conference Proceeding

The application of digital twins and artificial intelligence to manufacturing has shown potential in improving system resilience, responsiveness, and productivity. Traditional digital twin approaches are generally applied to single, static systems to... Read More about A Framework for Manufacturing System Reconfiguration based on Artificial Intelligence and Digital Twin.

Reference Architecture for Space Production Systems (2022)
Conference Proceeding

In this paper, we propose a conceptual framework and reference architecture for space production systems (SPS). A review of the existing digital architecture approaches and standards for space systems identifies a number of potential avenues. Based o... Read More about Reference Architecture for Space Production Systems.

Service Based Approach to Asset Administration Shell for Controlling Testing Processes in Manufacturing (2022)
Conference Proceeding

The rise in demand for customised products and lower costs has generated the need for incorporating intelligence in production systems. Intelligence is the main driver for enabling intelligent control in production systems to meet feature, part and c... Read More about Service Based Approach to Asset Administration Shell for Controlling Testing Processes in Manufacturing.

Application of Multi Agent Systems for Leak Testing (2021)
Conference Proceeding

The manufacturing of customised products is a driver in the trend of incorporating intelligence in the system. This intelligence is required to enable the system to self-conFigure processes to meet the requirements of unique products. This work deals... Read More about Application of Multi Agent Systems for Leak Testing.

Visualisation on a Shoestring: a low-cost approach for building visualisation components of industrial digital solutions (2021)
Conference Proceeding

The rate of adoption of digital solutions in manufacturing environments remains low despite the benefits these can bring. This is particularly acute among industrial small and medium enterprises (SMEs), who typically do not have the confidence to ado... Read More about Visualisation on a Shoestring: a low-cost approach for building visualisation components of industrial digital solutions.

Cloud Based Decision Making for Multi-Agent Production Systems (2021)
Conference Proceeding

The use of multi-agent systems (MAS) as a distributed control method for shop-floor manufacturing control applications has been extensively researched. MAS provides new implementation solutions for smart manufacturing requirements such as the high dy... Read More about Cloud Based Decision Making for Multi-Agent Production Systems.

Feedforward Enhancement through Iterative Learning Control for Robotic Manipulator (2021)
Conference Proceeding

This work presents an iterative learning control (ILC) algorithm to enhance the feedforward control (FFC) for robotic manipulators. The proposed ILC algorithm enables the cooperation between the ILC, inverse dynamics, and a PD feedback control (FBC)... Read More about Feedforward Enhancement through Iterative Learning Control for Robotic Manipulator.

A Framework for Self-Configuration in Manufacturing Production Systems (2021)
Conference Proceeding

Intelligence in manufacturing enables the optimization and configuration of processes, and a goal of future smart manufacturing is to enable processes to configure themselves-called self-configuration. This paper describes a framework for utilising d... Read More about A Framework for Self-Configuration in Manufacturing Production Systems.

Learning Feedforward Control for Industrial Manipulators (2021)
Conference Proceeding

In this work, an iterative learning control (ILC) algorithm is proposed for industrial manipulators. The proposed ILC algorithm works coordinately with the inverse dynamics of the manipulator and a feedback controller. The entire control scheme has t... Read More about Learning Feedforward Control for Industrial Manipulators.

Context-Aware Plug and Produce for Robotic Aerospace Assembly (2021)
Conference Proceeding

Aerospace production systems face increasing requirements for flexibility and reconfiguration, along with considerations of cost, utilisation, and efficiency. This drives a need for systems with a small number of automation platforms (e.g. industrial... Read More about Context-Aware Plug and Produce for Robotic Aerospace Assembly.

Application of advanced simulation methods for the tolerance analysis of mechanical assemblies (2021)
Conference Proceeding

In the frame of a statistical tolerance analysis of complex assemblies, for example an aircraft wing, the capability to predict accurately and fast specified, very small quantiles of the distribution of the assembly key characteristic becomes crucial... Read More about Application of advanced simulation methods for the tolerance analysis of mechanical assemblies.

Enhancing Learning Capabilities of Movement Primitives under Distributed Probabilistic Framework for Assembly Tasks (2020)
Conference Proceeding

This paper presents a novel distributed probabilistic framework based on movement primitives for flexible robots assembly implementation. Since modern advanced industrial cell usually deals with various tasks that are not fixed via-point trajectories... Read More about Enhancing Learning Capabilities of Movement Primitives under Distributed Probabilistic Framework for Assembly Tasks.

System condition monitoring through Bayesian change point detection using pump vibrations (2020)
Conference Proceeding

This paper presents a method for vibration analysis and a simple test bench analogue for the solder pumping system in an industrial wave-soldering machine at a Siemens factory. A common machine fault is caused by solder build-up within the pipes of t... Read More about System condition monitoring through Bayesian change point detection using pump vibrations.

A probabilistic approach for trade-off analysis of composite wing structures at the conceptual phase of design (2019)
Conference Proceeding

One of the major elements when performing a design for manufacturing and assembly methodology is the cost modelling method. A probabilistic cost approach is introduced herein for the series production of a composite wing structure. The proposed metho... Read More about A probabilistic approach for trade-off analysis of composite wing structures at the conceptual phase of design.

Aerospace Assembly Gap Measurement Using Low Cost Smart Tools with Machine Vision (2019)
Conference Proceeding

This paper details the conversion of mature machine vision technology from a fixed position automation line based device to a handheld technology and addresses the problems associated with maintaining a consistent camera distance and light source by... Read More about Aerospace Assembly Gap Measurement Using Low Cost Smart Tools with Machine Vision.