A5085280828- Flexible and Reconfigurable Manufacturing Systems
- Fault Detection and Control Systems
- Digital Transformation in Industry
- Time Series Analysis and Forecasting
- Advanced Software Engineering Methodologies
- Advanced Data Processing Techniques
- Scheduling and Optimization Algorithms
- Product Development and Customization
- Industrial Vision Systems and Defect Detection
- Business Process Modeling and Analysis
- Advanced Statistical Process Monitoring
- Manufacturing Process and Optimization
- Anomaly Detection Techniques and Applications
- Software System Performance and Reliability
- Smart Grid Security and Resilience
- Cell Image Analysis Techniques
- Petri Nets in System Modeling
- Software Reliability and Analysis Research
- Non-Destructive Testing Techniques
- Digital Innovation in Industries
- Industrial Technology and Control Systems
- Digitalization, Law, and Regulation
- Risk and Safety Analysis
- Image Processing and 3D Reconstruction
- Service-Oriented Architecture and Web Services
Institute of Automation
2019-2025
Technical University of Munich
2019-2025
Root-cause Analysis (RCA) of alarms is a well-established research area in automated Production Systems (aPS). Many RCA algorithms have been proposed and successfully evaluated new ones are being developed. Recently, researchers focus on the incorporation formalized information about technical process analysis to gather further evidence for common root causes. In industrial applications, alarm data usually preprocessed accommodate use case-specific properties prepare subsequent steps....
Abstract Functions of automated Production Systems (aPS) can be realized by control software (SW), whose high quality and short development time are, therefore, vital. To achieve both, SW should modular and, thereby, reusable. Static code analysis help improve the modularization existing software, e. g., automatically analyzing information flow. However, manual reviews are still typically required because planning a SW’s requires semantic understanding its functionality. This paper presents...
The development of automated Production Systems (aPS) is an interdisciplinary process, where increasing part the system's functionality realized in respective control software. Such software projects commonly utilize programming languages standardized IEC 61131-3. To measure, improve, and maintain source code while also promoting trust its capabilities, objective assessment characteristics necessary. Software metrics are a means for such evaluation. While there abundance available from...
Automated production systems (aPS) are variant-rich, design-to-order and an increasing proportion of their functionality is implemented by control software. In software development, reuse still commonly performed via clone-and-own despite many drawbacks, e.g., copying errors. This unplanned leads to a high amount historically grown variants, which contain valuable domain expertise. Therefore, enable planned existing solutions, analysis legacy software, inducing documentation identified...
Chip-probing is the key process for IC manufacturing to its ensure quality. As number of tests increases, test quality and yield will be affected because needles on probe card tester contaminated by external objects or worn out. Whether a needle polish required can determined through real-time monitoring various detection indicators such as resistivity yield. However, both are lagging indicators, excessively frequent polishes increase processing time reduce throughput. The so-called...
The importance of high-performance computers in car networks increases to realize software assistance functions. These offer new opportunities for use cases testing and diagnostics towards vehicle services. Therefore, are no longer limited the functional checking electric electronic components. Proven concepts from computer science, such as business process management, can be integrated into network provide a uniform basis automotive cases. In this paper, (i) Business Process Model Notation...
Changing requirements cause flexible automated Production Systems (aPS) to evolve over decades. Digital Twins (DT) of the different hierarchy levels and design steps ease this evolution, e.g., by enabling requirement analysis compatibility checks ahead any physical changes. To ensure up-to-date models integrate additional knowledge, information gained during operation is included in DTs. Consequently, evolvability, decomposability, control software modularity, learning are identified as four...
The Overall Equipment Effectiveness (OEE) of automated Production Systems (aPS) is an essential metric in a competitive global market. Maintaining high OEE not easily achieved aPS, because hard real-time requirements and the fulfillment extra-functional tasks, including safety, limit flexibility needed for fault-tolerant control dynamic reconfiguration. This paper proposes extension aPS by distributive agent to monitor process intervene only case potential loss, leaving core system...
Predictive Maintenance (PdM) is a one of the core topics for Industry 4.0 and entitled as "Predictive 4.0." The main tasks PdM are to monitor production tool health then issue an alert when maintenance necessary. has become top priority it can optimize utility. so-called iFA system platform, realized by integrating several intelligent services including Intelligent (IPM), was proposed accomplish goal Zero-Defect Manufacturing. However, current algorithm in IPM did not provide feasible aging...
As discrete manufacturing tends to be small batch and customized, automated Production Systems (aPS) must more flexible adapt the variety of products, which makes aPS complex error-prone. To increase system efficiency reduce downtime caused by manual intervention, strategies for automatic recovery are required. Currently, is fulfilled portions control software that treat selected failures, have been planned implemented at design-time. save engineering effort unpredicted should instead...