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Data Driven Condition Monitoring of Wind Power Plants Using Cluster Analysis.

, , and . CyberC, page 131-136. IEEE Computer Society, (2015)

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A GPU-based method for robust and efficient fault detection in industrial automation processes., and . INDIN, page 442-445. IEEE, (2016)Model-based Development of Automation Systems., , and . MBEES, page 45-54. fortiss GmbH, München, (2010)A generic synchronized data acquisition solution for distributed automation systems., , , , , and . ETFA, page 1-8. IEEE, (2012)mINA-DL: A novel description language enabling dynamic reconfiguration in industrial automation., , , and . ETFA, page 1-4. IEEE, (2011)A descriptive engineering approach for cyber-physical systems., , , and . ETFA, page 1-4. IEEE, (2014)Quality Control of Continuous Wort Production through Production Data Analysis in Latent Space., , , , , and . ICIT, page 1323-1328. IEEE, (2019)Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems., , , , and . ICAART (2), page 592-601. SciTePress, (2019)LSTM for Model-based Anomaly Detection in Cyber-Physical Systems., and . DX@Safeprocess, volume 2289 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Diagnosing Hybrid Cyber-Physical Systems using State-Space Models and Satisfiability Modulo Theory., and . DX@Safeprocess, volume 2289 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)On the Learning of Timing Behavior for Anomaly Detection in Cyber-Physical Production Systems., , and . DX@Safeprocess, volume 1507 of CEUR Workshop Proceedings, page 217-224. CEUR-WS.org, (2015)