Search Results - "condition monitoring"
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Applications of Power Electronics
Published 2019Subjects: “…condition monitoring…”
DOAB: download the publication
DOAB: description of the publication
Electronic Book Chapter -
42
Recent Advances in Vibrations Analysis
Published 2011DOAB: download the publication
DOAB: description of the publication
Electronic Book Chapter -
43
Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2018 /
Published 2019Table of Contents: “…Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project -- Deduction of time-dependent machine tool characteristics by fuzzy-clustering -- Unsupervised Anomaly Detection in Production Lines -- A Random Forest Based Classifer for Error Prediction of Highly Individualized Products -- Web-based Machine Learning Platform for Condition-Monitoring -- Selection and Application of Machine Learning-Algorithms in Production Quality -- Which deep artifificial neural network architecture to use for anomaly detection in Mobile Robots kinematic data -- GPU GEMM-Kernel Autotuning for scalable machine learners -- Process Control in a Press Hardening Production Line with Numerous Process Variables and Quality Criteria -- A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance -- Detection of Directed Connectivities in Dynamic Systems for Different Excitation Signals using Spectral Granger Causality -- Enabling Self-Diagnosis of AutomationDevices through Industrial Analytics -- Making Industrial Analytics work for Factory Automation Applications -- Application of Reinforcement Learning in Production Planning and Control of Cyber Physical Production Systems -- LoRaWan for Smarter Management of Water Network: From metering to data analysis.…”
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Efficiency, Performance and Robustness of Gas Turbines
Published 2012DOAB: download the publication
DOAB: description of the publication
Electronic Book Chapter -
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Industry 4.0 Perspectives and Applications
Published 2023DOAB: download the publication
DOAB: description of the publication
Electronic Book Chapter -
47
Simulation and Modelling of Electrical Insulation Weaknesses in Electrical Equipment
Published 2018DOAB: download the publication
DOAB: description of the publication
Electronic Book Chapter -
48
Railway Research Selected Topics on Development, Safety and Technology
Published 2015DOAB: download the publication
DOAB: description of the publication
Electronic Book Chapter -
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Acoustic and Elastic Waves: Recent Trends in Science and Engineering
Published 2017DOAB: download the publication
DOAB: description of the publication
Electronic Book Chapter -
51
Induction Motors Applications, Control and Fault Diagnostics
Published 2015DOAB: download the publication
DOAB: description of the publication
Electronic Book Chapter -
52
Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2020 /
Published 2021Table of Contents: “…Preface -- Energy Profile Prediction of Milling Processes Using Machine Learning Techniques -- Improvement of the prediction quality of electrical load profiles with artficial neural networks -- Detection and localization of an underwater docking station -- Deployment architecture for the local delivery of ML-Models to the industrial shop floor -- Deep Learning in Resource and Data Constrained Edge Computing Systems -- Prediction of Batch Processes Runtime Applying Dynamic Time Warping and Survival Analysis -- Proposal for requirements on industrial AI solutions -- Information modeling and knowledge extraction for machine learning applications in industrial production systems -- Explanation Framework for Intrusion Detection -- Automatic Generation of Improvement Suggestions for Legacy, PLC Controlled Manufacturing Equipment Utilizing Machine Learning -- Hardening Deep Neural Networks in Condition Monitoring Systems against Adversarial ExampleAttacks -- First Approaches to Automatically Diagnose and Reconfigure Hybrid Cyber-Physical Systems -- Machine learning for reconstruction of highly porous structures from FIB-SEM nano-tomographic data.…”
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