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20182026
most citedArtificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems

39 citations · 75 across the 13 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

stat.AP2024★ 1 cited

Data Set of Load Tests and Structural Health Monitoring of a concrete Box Girder bridge

Martin Koehncke, Yogi Jaelani, Alexander Mendler +4

Static and dynamic load tests were conducted on an anonymized in-service prestressed concrete box girder bridge constructed in 1972 and designed for Bridge Class~30 according to DI…

stat.AP2024★ 1 cited

Confounder-adjusted Covariances of System Outputs and Applications to Structural Health Monitoring

Lizzie Neumann, Philipp Wittenberg, Alexander Mendler +1

Automated damage detection is an integral component of each structural health monitoring (SHM) system. Typically, measurements from various sensors are collected and reduced to dam…

stat.ME2024

Nonparametric Monitoring of Spatial Dependence

Philipp Adämmer, Philipp Wittenberg, Christian H. Weiß +1

In process monitoring, it is common for measurements to be taken regularly or randomly from different spatial locations in two or three dimensions. While there are nonparametric me…

stat.AP2024★ 5 cited

Covariate-Adjusted Functional Data Analysis for Structural Health Monitoring

Philipp Wittenberg, Lizzie Neumann, Alexander Mendler +1

Structural Health Monitoring (SHM) is increasingly applied in civil engineering. One of its primary purposes is detecting and assessing changes in structure conditions to increase…

stat.AP2024

Structural Health Monitoring with Functional Data: Two Case Studies

Philipp Wittenberg, Sven Knoth, Jan Gertheiss

Structural Health Monitoring (SHM) is increasingly used in civil engineering. One of its main purposes is to detect and assess changes in infrastructure conditions to reduce possib…

cs.AI2024★ 39 cited

Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems

Alexander Windmann, Philipp Wittenberg, Marvin Schieseck +1

In Industry 4.0, Cyber-Physical Systems (CPS) generate vast data sets that can be leveraged by Artificial Intelligence (AI) for applications including predictive maintenance and pr…