Evaluation of the Flourish Dashboard for Context-Aware Fault Diagnosis in Industry 4.0 Smart Factories
Cyber-physical systems become more complex, therewith production lines become more complex in the smart factory. Every employed system produces high amounts of data with unknown dependencies and relationships, making incident reasoning difficult. Context-aware fault diagnosis can unveil such relatio...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-11-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/11/23/3942 |
| _version_ | 1797463397698109440 |
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| author | Lukas Kaupp Kawa Nazemi Bernhard Humm |
| author_facet | Lukas Kaupp Kawa Nazemi Bernhard Humm |
| author_sort | Lukas Kaupp |
| collection | DOAJ |
| description | Cyber-physical systems become more complex, therewith production lines become more complex in the smart factory. Every employed system produces high amounts of data with unknown dependencies and relationships, making incident reasoning difficult. Context-aware fault diagnosis can unveil such relationships on different levels. A fault diagnosis application becomes context-aware when the current production situation is used in the reasoning process. We have already published TAOISM, a visual analytics model defining the context-aware fault diagnosis process for the Industry 4.0 domain. In this article, we propose the Flourish dashboard for context-aware fault diagnosis. The eponymous visualization Flourish is a first implementation of a context-displaying visualization for context-aware fault diagnosis in an Industry 4.0 setting. We conducted a questionnaire and interview-based bilingual evaluation with two user groups based on contextual faults recorded in a production-equal smart factory. Both groups provided qualitative feedback after using the Flourish dashboard. We positively evaluate the Flourish dashboard as an essential part of the context-aware fault diagnosis and discuss our findings, open gaps, and future research directions. |
| first_indexed | 2024-03-09T17:50:06Z |
| format | Article |
| id | doaj.art-20d9602473e143dcbac46826a5cd61fd |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T17:50:06Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-20d9602473e143dcbac46826a5cd61fd2023-11-24T10:48:05ZengMDPI AGElectronics2079-92922022-11-011123394210.3390/electronics11233942Evaluation of the Flourish Dashboard for Context-Aware Fault Diagnosis in Industry 4.0 Smart FactoriesLukas Kaupp0Kawa Nazemi1Bernhard Humm2Faculty of Computer Science, Darmstadt University of Applied Sciences, Haardtring 100, 64295 Darmstadt, GermanyResearch Group Human-Computer Interaction and Visual Analytics, Faculty of Media, Darmstadt University of Applied Sciences, Haardtring 100, 64295 Darmstadt, GermanyFaculty of Computer Science, Darmstadt University of Applied Sciences, Haardtring 100, 64295 Darmstadt, GermanyCyber-physical systems become more complex, therewith production lines become more complex in the smart factory. Every employed system produces high amounts of data with unknown dependencies and relationships, making incident reasoning difficult. Context-aware fault diagnosis can unveil such relationships on different levels. A fault diagnosis application becomes context-aware when the current production situation is used in the reasoning process. We have already published TAOISM, a visual analytics model defining the context-aware fault diagnosis process for the Industry 4.0 domain. In this article, we propose the Flourish dashboard for context-aware fault diagnosis. The eponymous visualization Flourish is a first implementation of a context-displaying visualization for context-aware fault diagnosis in an Industry 4.0 setting. We conducted a questionnaire and interview-based bilingual evaluation with two user groups based on contextual faults recorded in a production-equal smart factory. Both groups provided qualitative feedback after using the Flourish dashboard. We positively evaluate the Flourish dashboard as an essential part of the context-aware fault diagnosis and discuss our findings, open gaps, and future research directions.https://www.mdpi.com/2079-9292/11/23/3942context visualizationcontext-aware fault diagnosiscyber-physical systemscyber-physical production systemsIndustry 4.0autoencoder |
| spellingShingle | Lukas Kaupp Kawa Nazemi Bernhard Humm Evaluation of the Flourish Dashboard for Context-Aware Fault Diagnosis in Industry 4.0 Smart Factories Electronics context visualization context-aware fault diagnosis cyber-physical systems cyber-physical production systems Industry 4.0 autoencoder |
| title | Evaluation of the Flourish Dashboard for Context-Aware Fault Diagnosis in Industry 4.0 Smart Factories |
| title_full | Evaluation of the Flourish Dashboard for Context-Aware Fault Diagnosis in Industry 4.0 Smart Factories |
| title_fullStr | Evaluation of the Flourish Dashboard for Context-Aware Fault Diagnosis in Industry 4.0 Smart Factories |
| title_full_unstemmed | Evaluation of the Flourish Dashboard for Context-Aware Fault Diagnosis in Industry 4.0 Smart Factories |
| title_short | Evaluation of the Flourish Dashboard for Context-Aware Fault Diagnosis in Industry 4.0 Smart Factories |
| title_sort | evaluation of the flourish dashboard for context aware fault diagnosis in industry 4 0 smart factories |
| topic | context visualization context-aware fault diagnosis cyber-physical systems cyber-physical production systems Industry 4.0 autoencoder |
| url | https://www.mdpi.com/2079-9292/11/23/3942 |
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