Integrating real-time monitoring and asset health prediction for power transformer intelligent maintenance and decision support

Lecture Notes in Mechanical Engineering

Volumn 19, Issue , 2015, Pages 533-543

  Trappey, Amy J C ^a   Trappey, Charles V ^b   Ma, Lin ^c   Chang, Jimmy C M ^a  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^c QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Back propagation artificial neural network; Engineering asset management; Gases in oil; Intelligent prognosis; Principal component analysis

Indexed keywords

ASSET MANAGEMENT; CONDITION BASED MAINTENANCE; DATA MINING; DECISION SUPPORT SYSTEMS; ELECTRIC FAULT CURRENTS; ELECTRIC POWER TRANSMISSION; ELECTRIC POWER TRANSMISSION NETWORKS; FAILURE ANALYSIS; FAULT DETECTION; FORECASTING; HEALTH; HEURISTIC METHODS; OUTAGES; POWER TRANSFORMERS; PRINCIPAL COMPONENT ANALYSIS; REPAIR; THROUGHPUT;

AUSTRALIA; BACK PROPAGATION; BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK; ENGINEERING ASSET MANAGEMENTS; GAS-IN-OIL; INTELLIGENT PROGNOSE; POWER; PREDICTION MODELLING; PRINCIPAL-COMPONENT ANALYSIS; REAL TIME MONITORING;

NEURAL NETWORKS;

EID: 84951015351     PISSN: 21954356     EISSN: 21954364     Source Type: Book Series    
DOI: 10.1007/978-3-319-09507-3_46     Document Type: Article

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