Ergebnisse

@inproceedings{wibetabrock2023cutting,

title = {Cutting Through the Noise: An Empirical Comparison of Psycho-Acoustic and Envelope-based Features for Machinery Fault Detection},

author = {Peter Wißbrock and Yvonne Richter and David Pelkmann and Zhao Ren and Gregory Palmer },

url = {https://arxiv.org/pdf/2211.01704.pdf

https://ieeexplore.ieee.org/document/10095756},

year  = {2023},

date = {2023-05-05},

urldate = {2023-05-05},

booktitle = {ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},

pages = {1-5},

organization = {IEEE},

abstract = {Acoustic-based fault detection has a high potential to monitor the health condition of mechanical parts. However, the background noise of an industrial environment may negatively influence the performance of fault detection. Limited attention has been paid to improving the robustness of fault detection against industrial environmental noise. Therefore, we present the Lenze production background-noise (LPBN) real-world dataset and an automated and noise-robust auditory inspection (ARAI) system for the end-of-line inspection of geared motors. An acoustic array is used to acquire data from motors with a minor fault, major fault, or which are healthy. A benchmark is provided to compare the psychoacoustic features with different types of envelope features based on expert knowledge of the gearbox. To the best of our knowledge, we are the first to apply time-varying psychoacoustic features for fault detection. We train a state-of-the-art one-class-classifier, on samples from healthy motors and separate the faulty ones for fault detection using a threshold. The best-performing approaches achieve an area under curve of 0.87 (logarithm envelope), 0.86 (time-varying psychoacoustics), and 0.91 (combination of both).},

keywords = {Assembly Line Inspection, Envelope Spectrum, Gear Fault Detection, IIP-Ecosphere, Industrial Noise, Psychoacoustics},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{eichelberger2022ssp,

title = {Developing an AI-enabled Industry 4.0 platform – Performance experiences on deploying AI onto an industrial edge device},

author = {Holger Eichelberger and Gregory Palmer and Claudia Niederée},

url = {https://www.iip-ecosphere.de/ssp22/},

year  = {2022},

date = {2022-11-09},

booktitle = {13th Symposium on Software Performance 2022},

abstract = {Bei der Maximierung des Nutzens von KI für die Industrie 4.0 geht es um mehr als nur die Entwicklung effektiver neuer KI-Methoden. Ebenso wichtig ist die erfolgreiche Integration von KI in Produktionsumgebungen. Eine offene Herausforderung ist der dynamische Einsatz von KI auf industriellen Edge-Geräten in unmittelbarer Nähe von Produktionsmaschinen. Die IIP-Ecosphere-Plattform wurde entwickelt, um die Einschränkungen bestehender Industrie 4.0-Plattformen zu überwinden. Sie unterstützt den flexiblen Einsatz von KI durch einen hochgradig konfigurierbaren Low-Code-basierten Ansatz, bei dem Code für maßgeschneiderte Plattformkomponenten und Anwendungen generiert wird. In diesem Papier messen wir die Leistung unserer Plattform an einem industriellen Demonstrator und diskutieren die Auswirkungen des Einsatzes von KI, ausgehend von einem zentralen Server, auf der Edge.},

keywords = {IIP-Ecosphere, Industrie 4.0, Platform Activities, Virtual Platform},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{alamoush2022ssp,

title = {Adapting Kubernetes to IIoT and Industry 4.0 protocols - An initial performance analysis},

author = {Ahmad Alamoush and Holger Eichelberger},

url = {https://www.iip-ecosphere.de/ssp-kubernetes-cr/},

year  = {2022},

date = {2022-11-08},

urldate = {2022-11-08},

booktitle = {13th Symposium on Software Performance 2022},

abstract = {Kubernetes ist eines der am häufigsten verwendeten Container-Orchestrierungstools, denn es bietet 

reichhaltige Funktionen zur Verwaltung von containerisierten Anwendungen,  ist anpassbar und erweiterbar. Die Virtualisierung von  Containern von Anwendungen und deren Orchestrierung auf heterogenen Ressourcen einschließlich Edge-Geräten ist ein neuer Trend im industriellen Internet der Dinge (IIoT)/Industrie 4.0 in der auch verstärkt Kubernetes  eingesetzt wird. Allerdings sind, IIoT/Industrie 4.0 Domänen mit hohen Anforderungen an derzeitigen und künftigen Standardisierungsanforderungen. Neben Gerätenormen, z.B. für elektrische Schaltschränke, gibt es auch

Anforderungen an die Standardisierung von Netzwerkprotokollen, Daten Datenformaten oder Informationsmodellen. Hier ist das proprietäre Kommunikationsprotokoll von Kubernetes gegebenenfalls ein Hindernis für die Akzeptanz von Kubernetes. Um diese Situation unter dem Gesichtspunkt der Interoperabilität und Integration zu untersuchen, stellen wir in diesem Papier einen Ansatz zum Austausch des Kommunikationsprotokolls von Kubernetes vor, ohne dessen Codebasis zu verändern. Wir zeigen die Anwendung unseres Ansatzes der Verwendung von Kubernetes mit drei aktuellen Formen der IIoT-Kommunikation:  Message Queuing Telemetry Transport (MQTT), Advanced Advanced Message Queuing Protocol (AMQP) und Asset Administration Shell (AAS).},

keywords = {IIoT, IIP-Ecosphere, Industrie 4.0, Industry 4.0, Virtual Platform},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{sauer2022ssp,

title = {Performance Evaluation of BaSyx based Asset Administration Shells for Industry 4.0 Applications},

author = {Christian Sauer and Holger Eichelberger},

url = {https://www.iip-ecosphere.de/ssp22_aas_paper-crc/},

year  = {2022},

date = {2022-11-08},

booktitle = {13th Symposium on Software Performance 2022},

abstract = {Die Asset Administration Shell (AAS) ist ein neuer Informationsmodell-Standard, der auf die interoperable Modellierung von "Assets", d.h. von Produkten, Maschinen, Dienstleistungen oder digitalen Zwillingen im IIoT/Industrie 4.0. Derzeit, verwenden eine Reihe von IIoT-Plattformen proprietäre Informationsmodelle ähnlich dem AAS, aber keinen gemeinsamen Standard, was die Interoperabilität beeinträchtigt. Eine Schlüsselfrage für eine breite Akzeptanz der AAS ist, ob AAS leistungsfähig und skalierbar eingesetzt werden können. In diesem Papier untersuchen wir diese Frage für AAS, die mit der quelloffene Eclipse BaSyx Middleware erstellt werden.},

keywords = {Asset Administration Shells, IIP-Ecosphere, Industrie 4.0},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-031-36889-9_19,

title = {Developing an AI-Enabled IIoT Platform - Lessons Learned from Early Use Case Validation},

author = {Eichelberger, Holger

and Palmer, Gregory

and Reimer, Svenja

and Trong Vu, Tat

and Do, Hieu

and Laridi, Sofiane

and Weber, Alexander

and Niederée, Claudia

and Hildebrandt, Thomas},

editor = {Batista, Thais

and Bure{v{s}}, Tom{'a}{v{s}}

and Raibulet, Claudia

and Muccini, Henry},

isbn = {978-3-031-36889-9},

year  = {2022},

date = {2022-09-19},

booktitle = {Software Architecture. ECSA 2022 Tracks and Workshops},

pages = {265-283},

publisher = {Springer International Publishing},

address = {Cham},

abstract = {For a broader adoption of AI in industrial production, adequate infrastructure capabilities and ecosystems are crucial. This includes easing the integration of AI with industrial devices, support for distributed deployment, monitoring, and consistent system configuration. IIoT platforms can play a major role here by providing a unified layer for the heterogeneous Industry 4.0/IIoT context.},

keywords = {IIoT, IIoT-Platform, IIP-Ecosphere, Industrie 4.0, Industry 4.0, KI in der Produktion, Virtual Platform},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Kirschbaum2022,

title = {Use-Case-based Innovation for Artificial Intelligence - An ontological Approach},

author = {Julius Kirschbaum and Tim Posselt and Angela Roth},

url = {https://www.researchgate.net/publication/361667326_Use-case-based_innovation_for_artificial_intelligence_-_An_ontological_approach},

year  = {2022},

date = {2022-06-21},

urldate = {2022-06-21},

booktitle = {ECIS 2022 Proceedings},

publisher = {AIS Electronic Library (AISeL)},

abstract = {Research has primarily focused on process models for AI-use-case-adoption, but neglected the use-cases themselves. In this research, an ontological artifact is developed as the basis for an AI-use-case-description-scheme. It allows practitioners and researchers to systematically describe such use-cases based on their level of abstraction and core characteristics. It enables them to classify, document and communicate these use-cases to support AI-adoption. We ground its development in diffusion of innovation theory and build upon research on AI-adoption. In particular, Rogers’ (2003) innovation decision process is utilised as a framework that explains adoption decisions by organisations. A Design Science Research approach is chosen that integrates the ontology development process by Noy and McGuinness (2001). In this research-in-progress, we conduct one ex ante and one ex post evaluation and plan for a second ex post evaluation that ensure the relevance and rigor of the artifact design.},

keywords = {Adoption, Artificial Intelligence, IIP-Ecosphere, Innovation, Künstliche Intelligenz, Ontology, Use Case},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{41924,

title = {Industry 4.0 Resource Monitoring - Experiences With Micrometer and Asset Administration Shells},

author = {Miguel Gomez Casado and Holger Eichelberger},

url = {http://ceur-ws.org/Vol-3043/short8.pdf},

year  = {2021},

date = {2021-08-13},

urldate = {2021-08-13},

booktitle = {CEUR-WS Proceedings of Symposium on Software Performance 2021 (SSP'21)},

publisher = {CEUR-WS.org},

keywords = {Asset Administration Shells, IIP-Ecosphere, Industrie 4.0},

pubstate = {published},

tppubtype = {inproceedings}

}