Different topics in maintenance 4.0 focusing on human-centered and data-driven approaches are supervised by PIM team. etencies of the group.


  • Explainability of transformer models
    Long Title: Explainability of transformer models for event extraction applications in industrial maintenance
  • Large lange models for chatbos
    Long Title: Large language model based chatbots in industrial maintenance applications

WS 2022

  • Assistance Systems in Maintenance
    Long Title: An Analysis of the Utilization ofAssistance Systems in Maintenance Strategies
  • Opportunistic maintenance strategies
    Long Title: Optimization of opportunistic maintenance strategies using von birtual reality technologies

SS 2022

  • Sustainable Digital Twin
    Long Title:  The use of Digital Twin Morphology towards a more Sustainable Maintenance 
  • Artificial Intelligence in Ressilient Supply Chains
    Long Title:  Development of an Artificial Intelligence Road Map on the Resilience of Supply Chains at the Example of Industrial Maintenance
  • Hyperautomation for Learning Optimization
    Long Title: Design and Implementation of an Integrated Data Pipeline for Combining Process- and Text-Mining towards Optimizing Human Learning in Business Processes

WS 2021

  • Predictive Maintenance Morhology
    Long Title: A Classification of Predictive Maintenance Applications in Industry 4.0


  • Predictive Maintenance Morphology
    Full Title: A Classification of Predictive Maintenance Applications in Industry 4.0


  • Analysis of Job Profiles for Competency Evaluation
    Full Title: Textual Analysis of Job Descriptions to Asses the Competency Evolution within the Industrial Maintenance
  • Maintenance Text Data for Cost Factors
    Full Title: Design and Development of a Prototype for Transforming Maintenance Text Data to Cost Factors


  • Process Analysis with Process Mining
    Full Title: Analysing Process Mining Methods and Related Applications Supported by Machine Learning
  • Gamification in Maintenance
    Full Title: Design of a Procedural Model for Extracting and Specifying Requirements of Gamification Tools and Features in Industrial Maintenance

WS 2019

  • Artificial Intelligence and Enterprise Resource Planning (ERP) in cooperation with BRP Rotax
    Full Title: Possible fields of application of AI methods and technologies in the field of supplier quality at an international engine manufacturer
  • Blockchain for Smart Manufacturing
    Full Title: Enterprises Blockchain for Smart Manufacturing Enterprises
  • Maintenance Knowledge Management in Metal Industries in cooperation with Primetals
    Full Title: Maintenance Knowledge Management in the metals industry
  • Knowledge Discovery from Text in Industry 4.0
    Full Title: Knowledge Discovery from Textual Data in the Context of Smart Factories for Industry 4.0
  • Learning Scorecard Model for Smart Factories
    Full Title: Design of a Learning Scorecard Model for Assessing Human and Machine Productivity in Cyber Physical Social Production Systems
  • Root Cause Analysis in Predictive Maintenance in cooperation with Infineon
    Full Title: The way to a root cause prediction with an existing predictive maintenance model and its impact on maintenance and production KPI´s

SS 2018

  • Extracting Knowledge from Maintenance Reports
    Full Title: A Procedural Model for Extracting Knowledge from Industrial Maintenance Reports
  • Bayesian Networks in Maintenance
    Full Title: Dynamic Bayesian Network for Predictive Maintenance
  • Non-stationary Bayesian Networks for Predictive Maintenance
    Full Title: Non-stationary Dynamic Bayesian Networks for Predictive Maintenance: Theoretical Foundation and Application Scenarios