IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency [electronic resource] : Intelligent Methods for the Factory of the Future

• Tác giả: Oliver Niggemann, Peter Schüller
• Ngôn ngữ: ger
• ISBN-13: 978-3662578056
• Ký hiệu phân loại: 658.56 Product control, packaging; waste control and utilization
• Thông tin xuất bản: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer Vieweg, 2018
• Mô tả vật lý: VII, 129 p. 52 illus., 29 illus. in color. , online resource.
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 168967
• Chủ đề: 1. Automation; 2. Industrial safety; 3. Input-output equipment (Computers); 4. Quality control; 5. Reliability; 6. Robotics; 7. Quality Control, Reliability, Safety and Risk; 8. Input/Output and Data Communications; 9. Robotics and Automation

Tóm tắt

This open access work presents selected results from the European research and innovation project IMPROVE which yielded novel data-based solutions to enhance machine reliability and efficiency in the fields of simulation and optimization, condition monitoring, alarm management, and quality prediction. The Editors Prof. Dr. Oliver Niggemann is Professor for Artificial Intelligence in Automation. His research interests are in the fields of machine learning and data analysis for Cyber-Physical Systems and in the fields of planning and diagnosis of distributed systems. He is a board member of the research institute inIT and deputy director at the Fraunhofer Application Center Industrial Automation INA located in Lemgo. Dr. Peter Schüller is postdoctoral researcher at Technische Universität Wien. His research interests are hybrid reasoning systems that combine Knowledge Representation and Machine Learning and applications in the fields of Cyber-Physical systems and Natural Language Processing.