Online Fault-monitoring in Machine Tools Based on Energy Consumption Analysis and Non-invasive Data Acquisition for Improved Resource-efficiency

Procedia CIRP

Volumn 40, Issue , 2016, Pages 236-243

  Emec, Soner ^a   Krüger, Jörg ^a   Seliger, Günther ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

Effectiveness; Fault monitoring; Manufacturing systems; Online pattern recognition

Indexed keywords

DATA ACQUISITION; DATA COMMUNICATION SYSTEMS; DATA HANDLING; ENERGY UTILIZATION; MACHINE COMPONENTS; MACHINE TOOLS; MACHINING; MACHINING CENTERS; MANUFACTURE; ONLINE SYSTEMS; OUTAGES; PATTERN MATCHING; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS;

COMPLEX EVENT PROCESSING; EFFECTIVENESS; ENERGY CONSUMPTION ANALYSIS; FAULT MONITORING; MANUFACTURING EQUIPMENT; OVERALL EQUIPMENT EFFECTIVENESS; REMAINING USEFUL LIVES; RESOURCE EFFICIENCIES;

DATA MINING;

EID: 84966686802     PISSN: 22128271     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.procir.2016.01.111     Document Type: Conference Paper

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