Prediction of Energy Consumption for Variable Customer Portfolios Including Aleatoric Uncertainty Estimation

1 code implementation • 1 Oct 2021 • Oliver Mey, André Schneider, Olaf Enge-Rosenblatt, Yesnier Bravo, Pit Stenzel

As a result, predictions of the hourly day-ahead energy consumption of single customers are represented by random variables drawn from lognormal distributions obtained as output from the neural network.

Condition Monitoring of Drive Trains by Data Fusion of Acoustic Emission and Vibration Sensors

1 code implementation • Processes 2021 • Oliver Mey, André Schneider, Olaf Enge-Rosenblatt, Dirk Mayer, Christian Schmidt, Samuel Klein, Hans-Georg Herrmann

Early damage detection and classification by condition monitoring systems is crucial to enable predictive maintenance of manufacturing systems and industrial facilities.

Classification Fault Detection +1

Machine Learning-Based Unbalance Detection of a Rotating Shaft Using Vibration Data

1 code implementation • 26 May 2020 • Oliver Mey, Willi Neudeck, André Schneider, Olaf Enge-Rosenblatt

630 RPM to 2330 RPM, three sensors were used to record vibrations on the rotating shaft at a sampling rate of 4096 values per second.

BIG-bench Machine Learning Fault Detection +2