Patrick Klein worked as a research assistant at the University of Trier and also briefly in part-time for the Trier branch of the German Research Center for Artificial Intelligence (DFKI) while conducting his doctoral research at the University's Internet of Things Laboratory, focusing on combining expert knowledge with deep learning for predictive maintenance. After completing his PhD thesis, he joined the Predictive Service Center in the R&D department of the technology and global market leader in machine tools, as a Data Scientist/Engineer, developing data-driven solutions for predictive maintenance.

• Introduction.- Foundations.- Data Generation for AI-based Predictive Maintenance Research.- Semantic Description of a Factory Simulation Environment.- Problem Definition and Introduction of Developed Constructs Used Across Application Scenarios.- Combining a Deep Anomaly Detection with a Semantic Knowledge Graph for Diagnosis.- Infusing Expert Knowledge into a Siamese Neural Network for Encoding Time Series.- Conclusion.

Patrick Klein worked as a research assistant at the University of Trier and also briefly in part-time for the Trier branch of the German Research Center for Artificial Intelligence (DFKI) while conducting his doctoral research at the University's Internet of Things Laboratory, focusing on combining expert knowledge with deep learning for predictive maintenance. After completing his PhD thesis, he joined the Predictive Service Center in the R&D department of the technology and global market leader in machine tools, as a Data Scientist/Engineer, developing data-driven solutions for predictive maintenance.

• Introduction.- Foundations.- Data Generation for AI-based Predictive Maintenance Research.- Semantic Description of a Factory Simulation Environment.- Problem Definition and Introduction of Developed Constructs Used Across Application Scenarios.- Combining a Deep Anomaly Detection with a Semantic Knowledge Graph for Diagnosis.- Infusing Expert Knowledge into a Siamese Neural Network for Encoding Time Series.- Conclusion.

Patrick Klein worked as a research assistant at the University of Trier and also briefly in part-time for the Trier branch of the German Research Center for Artificial Intelligence (DFKI) while conducting his doctoral research at the University's Internet of Things Laboratory, focusing on combining expert knowledge with deep learning for predictive maintenance. After completing his PhD thesis, he joined the Predictive Service Center in the R&D department of the technology and global market leader in machine tools, as a Data Scientist/Engineer, developing data-driven solutions for predictive maintenance.

• Introduction.- Foundations.- Data Generation for AI-based Predictive Maintenance Research.- Semantic Description of a Factory Simulation Environment.- Problem Definition and Introduction of Developed Constructs Used Across Application Scenarios.- Combining a Deep Anomaly Detection with a Semantic Knowledge Graph for Diagnosis.- Infusing Expert Knowledge into a Siamese Neural Network for Encoding Time Series.- Conclusion.