Hans Fleischmann
Institute of Automation, Friedrich-Alexander-Universität Erlangen-Nürnberg
Papers
2
Total Citations
13
H-Index
2
About
Hans Fleischmann is a leading researcher at the intersection of industrial automation, cyber-physical systems, and intelligent maintenance. His primary research areas include Condition Monitoring Systems (CMS) for Industry 4.0, decentralized fault diagnosis, and the development of modular, web-based frameworks for socio-cyber-physical systems (socio-CPS). Fleischmann’s major contributions lie in addressing the growing complexity of modern production plants. His most cited work, “A modular web framework for socio-CPS-based condition monitoring” (2016, 10 citations), introduces a novel approach to building fault-tolerant and predictable production systems by simplifying the traditionally challenging development of CMS. He further advanced the field with his work on “Intelligent Energy Profiling for Decentralized Fault Diagnosis of Automated Production Systems” (2015, 3 citations), where he demonstrated how data from energy management systems can be repurposed for advanced machine diagnostics. By leveraging intelligent energy profiling, Fleischmann has shown how to extract richer operational insights from existing data streams, enabling more effective, decentralized fault detection. His research is pivotal for creating smarter, more resilient factories, directly supporting the goals of predictive maintenance and operational efficiency in the era of Industry 4.0.
Research Focus
Key Achievements
Top Papers
- 1A modular web framework for socio-CPS-based condition monitoring10 citations · 2016
- 2