most citedComparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 2 cited

Comparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios

Payman Goodarzi, Andreas Schütze, Tizian Schneider

This study extensively compares conventional machine learning methods and deep learning for condition monitoring tasks using an AutoML toolbox. The experiments reveal consistent hi…

eess.SP2023

Deep convolutional neural networks for cyclic sensor data

Payman Goodarzi, Yannick Robin, Andreas Schütze +1

Predictive maintenance plays a critical role in ensuring the uninterrupted operation of industrial systems and mitigating the potential risks associated with system failures. This…