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AI-Driven Predictive Maintenance for Autonomous Vehicles for Product-Service System Development

Abstract The paper presents an Artificial Intelligence-driven approach to predictive maintenance for Product-Service System (PSS) development. This study focuses on time-based and condition-based maintenance, utilizing variational autoencoders to identify both predicted and unpredicted maintenance issues in autonomous haulers. By analyzing data patterns and forecasting future values, this approach enables proactive maintenance and informed decision-making in […]

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Handshake with VIA University College

From September 30 to October 2, the BTH team—Marco Bertoni, Carl Toller Melén, Giulia Wally Scurati, and our visiting fellow from Politecnico of Milano Riccardo Giussani—visited Denmark for a collaborative event with VIA University College, AugmentCity, and Region Central Denmark. The focus was on the expanding field of Extended Reality (XR) and its applications in […]

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Extended realities and discrete events simulations: A systematic review to define design trade-offs and directions

Abstract Extended Reality (XR) technologies are increasingly popular to support the engagement of different audiences and stakeholders with Discrete Event Simulations (DES) due to their capability to deliver more accessible visual and immersive experiences. XR applications can be developed either using modules integrated into DES software or game engines, providing different sets of opportunities in […]

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CONVERGE II | 2024-2027

CONVERGE II – En lösning för energidistributionen inom vägbyggnation & bergtäkt Det saknas idag en tillfredsställande systemlösning för elektrisk energidistribution som förser en maskinflotta som har 1) hög användningsgrad och 2) klarar höga laster, det vill säga hanterar ett stort antal ton och med större maskinstorlek, ca 20-100 ton. För entreprenader som färdigställs 2030 eller […]

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COLLIDE-XR Project Secures Funding for Cross-Atlantic Collaboration

At Blekinge Tekniska Högskola (BTH), we are thrilled to announce that our COLLIDE-XR project has officially been accepted for funding and support! This groundbreaking initiative is set to redefine the landscape of XR (Extended Reality) and AI technologies, emphasizing accessibility and innovation, all while promoting sustainable transformations in industries. By establishing key partnerships in both […]

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COLLIDE-XR: Collaborative Innovation for XR Accessibility and Development | 2024-2025

The project aims to foster collaboration between Swedish and U.S. partners, drivinginnovation and enhancing the accessibility of emerging XR & AI technologies.Accessibility is crucial to enable companies to leverage XR capabilities for sustainabletransformation. COLLIDE XR envisions four key pillars of accessibility: Visualization, Interaction, Devices,and Content. Visualization plays a vital role in making data and models […]

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Utilizing Natural Language Processing for Enhancing Collaborative Value-Driven Design of Smart Product Service System: Smart E-Vehicle Application

Abstract Manufacturing companies are increasingly transitioning from a product-centric to a smart Product Service System (smart PSS) approach to enhance customer satisfaction, service offerings, and product competitiveness through a combination of usage scenarios and digital components. In the context of Industry 5.0 transformation such as developing the Smart Electric Vehicle (SEV), the automotive industry faces […]

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Researchers join the SPIRIT Programme with a focus on Digital Twin Technology 

PhD students Carl Toller Melén and Raj Jiten Machchhar, together with Prof. Tobias Lasson as their mentor from Blekinge Tekniska Högskola (BTH), have been selected to participate in the SPIRIT (Swedish Programme for Innovative Researchers Impact Training) Programme, a national initiative designed to train researchers in the commercial utilization of their research. The programme, which […]

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PREDICT project finalized with good results!

The PREDICT project have been running between 2020-2024, and was recently closed. Project leader Shafiqul Islam shares the project summary in this video. PREDICT has generated results and tools that are used to increase reliability of failure prediction of sheet metal forming simulation in finite element models (FE-model). The work in this project was focused […]

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