System modeling based on machine learning for anomaly detection and predictive maintenance in industrial plants

19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014

Volumn , Issue , 2014, Pages

  Kroll, Björn ^a   Schaffranek, David ^a   Schriegel, Sebastian ^a   Niggemann, Oliver ^a  

^a FRAUNHOFER IOSB   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA ACQUISITION; ENERGY UTILIZATION; FACTORY AUTOMATION; LEARNING SYSTEMS; MAINTENANCE;

ANOMALY DETECTION; ANOMALY DETECTION SYSTEMS; HYBRID AUTOMATONS; INDUSTRIAL ENERGY; LEVEL DETECTIONS; MAINTENANCE CYCLES; PREDICTIVE MAINTENANCE; PRODUCTION SYSTEM;

INDUSTRIAL PLANTS;

EID: 84946690867     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ETFA.2014.7005202     Document Type: Conference Paper

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