Oliver Niggemann | DeepAI

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∙ 08/21/2023

Using Autoencoders and AutoDiff to Reconstruct Missing Variables in a Set of Time Series

Existing black box modeling approaches in machine learning suffer from a...

0 Jan-Philipp Roche, et al. ∙

∙ 08/14/2023

Graph Structural Residuals: A Learning Approach to Diagnosis

Traditional model-based diagnosis relies on constructing explicit system...

0 jan-lukas-augustin, et al. ∙

∙ 06/13/2023

Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study

Deep learning (DL) models have seen increased attention for time series ...

0 Alexander Windmann, et al. ∙

∙ 05/25/2023

A Diagnosis Algorithms for a Rotary Indexing Machine

Rotary Indexing Machines (RIMs) are widely used in manufacturing due to ...

0 Maria Krantz, et al. ∙

∙ 05/03/2023

A Cross-Frequency Protective Emblem: Protective Options for Medical Units and Wounded Soldiers in the Context of (fully) Autonomous Warfare

The protection of non-combatants in times of (fully) autonomous warfare ...

0 Daniel C. Hinck, et al. ∙

∙ 02/09/2023

Plan-Based Derivation of General Functional Structures in Product Design

In product design, a decomposition of the overall product function into ...

0 Philipp Rosenthal, et al. ∙

∙ 09/20/2022

On a Uniform Causality Model for Industrial Automation

The increasing complexity of Cyber-Physical Systems (CPS) makes industri...

0 Maria Krantz, et al. ∙

∙ 01/19/2022

Problem examination for AI methods in product design

Artificial Intelligence (AI) has significant potential for product desig...

0 Philipp Rosenthal, et al. ∙

∙ 12/31/2021

A Research Agenda for AI Planning in the Field of Flexible Production Systems

Manufacturing companies face challenges when it comes to quickly adaptin...

0 Aljosha Koecher, et al. ∙

∙ 11/28/2021

Learning Physical Concepts in Cyber-Physical Systems: A Case Study

Machine Learning (ML) has achieved great successes in recent decades, bo...

0 Henrik S. Steude, et al. ∙

∙ 05/18/2021

Reconfiguring Hybrid Systems Using SAT

Reconfiguration aims at recovering a system from a fault by automaticall...

0 Kaja Balzereit, et al. ∙

∙ 10/29/2020

LSTM for Model-Based Anomaly Detection in Cyber-Physical Systems

Anomaly detection is the task of detecting data which differs from the n...

0 Benedikt Eiteneuer, et al. ∙

∙ 10/29/2020

A Novel Anomaly Detection Algorithm for Hybrid Production Systems based on Deep Learning and Timed Automata

Performing anomaly detection in hybrid systems is a challenging task sin...

0 Nemanja Hranisavljevic, et al. ∙

∙ 10/28/2020

Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder

Unsupervised anomaly detection (AD) is a major topic in the field of Cyb...

0 Benedikt Eiteneuer, et al. ∙

∙ 10/27/2020

The DigitalTwin from an Artificial Intelligence Perspective

Services for Cyber-Physical Systems based on Artificial Intelligence and...

0 Oliver Niggemann, et al. ∙

∙ 02/22/2019

Evaluation of Cognitive Architectures for Cyber-Physical Production Systems

Cyber-physical production systems (CPPS) integrate physical and computat...

0 Andreas Bunte, et al. ∙

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