Dominik Kozjek
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View article: Prediction of Environment-Related Operation and Maintenance Events in Small Hydropower Plants
Prediction of Environment-Related Operation and Maintenance Events in Small Hydropower Plants Open
Operation and maintenance (O&M) events resulting from environmental factors (e.g., precipitation, temperature, seasonality, and unexpected weather conditions) are among the primary sources of operating costs and downtime in run-of-river sm…
View article: AI Control for Pasteurized Soft-Boiled Eggs
AI Control for Pasteurized Soft-Boiled Eggs Open
This paper presents a novel approach to thermal process control in the food industry, specifically targeting the pasteurization and cooking of soft-boiled eggs. The unique challenge of this process lies in the precise temperature control r…
View article: Exploring material removal dynamics during femtosecond laser micromachining by in-situ acoustic emission monitoring with physics-based and data-driven analysis
Exploring material removal dynamics during femtosecond laser micromachining by in-situ acoustic emission monitoring with physics-based and data-driven analysis Open
Femtosecond laser micromachining (FLµM) has emerged as a transformative technology for precision microfabrication, offering minimal thermal damage and exceptional resolution across diverse materials, including metals, semiconductors, polym…
View article: AI-enabled manufacturing process discovery
AI-enabled manufacturing process discovery Open
Discovering manufacturing processes has been largely experienced-based. We propose a shift to a systematic approach driven by dependencies between energy inputs and performance outputs. Uncovering these dependencies across diverse process …
View article: Machine learning guided adaptive laser power control in selective laser melting for pore reduction
Machine learning guided adaptive laser power control in selective laser melting for pore reduction Open
An adaptive laser power control strategy for Selective Laser Melting (SLM) has been developed using data from a co-axial photodiode monitoring system with 200 KHz temporal resolution. A supervised machine learning based algorithm outputs v…
View article: The Applicability of Arduino Microcontroller with a LoRa Shield as an Element in IoT
The Applicability of Arduino Microcontroller with a LoRa Shield as an Element in IoT Open
In this paper an IoT application of LoRa is presented. The application is related to the so-called precision beekeeping. This term is associated with the monitoring of many variables within a hive and in its vicinity, which can assist the …
View article: Reinforcement-Learning-Based Route Generation for Heavy-Traffic Autonomous Mobile Robot Systems
Reinforcement-Learning-Based Route Generation for Heavy-Traffic Autonomous Mobile Robot Systems Open
Autonomous mobile robots (AMRs) are increasingly used in modern intralogistics systems as complexity and performance requirements become more stringent. One way to increase performance is to improve the operation and cooperation of multipl…
View article: An architecture for sim-to-real and real-to-sim experimentation in robotic systems
An architecture for sim-to-real and real-to-sim experimentation in robotic systems Open
Research in the area of robotic systems has greatly benefited from the use of simulation models. Recent approaches allow the transfer of developed algorithms from simulation to reality (sim-to-real) and increasingly accurate representation…
View article: Advancing manufacturing systems with big-data analytics: A conceptual framework
Advancing manufacturing systems with big-data analytics: A conceptual framework Open
With the intensive development and implementation of information and communication technologies in manufacturing, large amounts of heterogeneous data are now being generated, gathered and stored. Handling large amounts of complex data – of…
View article: Multi-objective adjustment of remaining useful life predictions based on reinforcement learning
Multi-objective adjustment of remaining useful life predictions based on reinforcement learning Open
Effective tracking of degradation in machine tools or vehicle, ship, and aircraft engines is key to ensure their high utilization, effective maintenance, and safety. Data from the built-in sensors can be used to build models that accuratel…
View article: A Cyber-Physical Approach to the Management and Control of Manufacturing Systems
A Cyber-Physical Approach to the Management and Control of Manufacturing Systems Open
Cyber-physical systems (CPSs) open up new perspectives for the design, development, implementation, and operation of manufacturing systems and will enable a paradigm shift in manufacturing.The objective of this research is to develop a new…
View article: Identification of the CIRP expertise network based on public data
Identification of the CIRP expertise network based on public data Open
Identification of expertise of people, academic societies, companies, and institutions is an important professional and social activity for nurturing professional networks, forming project consortia, etc. Today, a lot of information about …
View article: Big data analytics for operations management in engineer-to-order manufacturing
Big data analytics for operations management in engineer-to-order manufacturing Open
Manufacturing data offers big potential for improving management of manufacturing operations. The paper addresses an approach to data analytics in engineer-to-order (ETO) manufacturing systems where the product quality and due-date reliabi…
View article: A Data-Driven Holistic Approach to Fault Prognostics in a Cyclic Manufacturing Process
A Data-Driven Holistic Approach to Fault Prognostics in a Cyclic Manufacturing Process Open
The complexity of manufacturing systems is increasing due to the increased requirements related to the variety and quality of the products, their complexity, and due to the general technological developments. In turn, the data related to t…