7 citations · 9 across the 5 of their papers we have counts for
6 papers
Explainable AI Algorithms for Vibration Data-based Fault Detection: Use Case-adadpted Methods and Critical Evaluation
Oliver Mey, Deniz Neufeld
Analyzing vibration data using deep neural network algorithms is an effective way to detect damages in rotating machinery at an early stage. However, the black-box approach of thes…
Machine Learning-Based Optimization of Chiral Photonic Nanostructures: Evolution- and Neural Network-Based Design
Oliver Mey, Arash Rahimi-Iman
Chiral photonics opens new pathways to manipulate light-matter interactions and tailor the optical response of meta-surfaces and -materials by nanostructuring nontrivial patterns.…
Prediction of Energy Consumption for Variable Customer Portfolios Including Aleatoric Uncertainty Estimation
Oliver Mey, André Schneider, Olaf Enge-Rosenblatt +2
Using hourly energy consumption data recorded by smart meters, retailers can estimate the day-ahead energy consumption of their customer portfolio. Deep neural networks are especia…
Machine Learning-Based Unbalance Detection of a Rotating Shaft Using Vibration Data
Oliver Mey, Willi Neudeck, André Schneider +1
Fault detection at rotating machinery with the help of vibration sensors offers the possibility to detect damage to machines at an early stage and to prevent production downtimes b…
Continuously-tunable light-matter coupling in optical microcavities with 2D semiconductors
Franziska Wall, Oliver Mey, Lorenz Maximilian Schneider +1
A theoretical variation between the two distinct light-matter coupling regimes, namely weak and strong coupling, becomes uniquely feasible in open optical Fabry-Pérot microcavities…
Enhancement of the Monolayer WS2 Exciton Photoluminescence with a 2D-Material/Air/GaP In-Plane Microcavity
Oliver Mey, Franziska Wall, Lorenz Maximilian Schneider +8
Light-matter interaction with two-dimensional materials gained significant attention in recent years leading to the reporting of weak and strong coupling regimes, and effective nan…