Transformer Fault Condition Prognosis Using Vibration Signals over Cloud Environment

IEEE Access

Volumn 6, Issue , 2018, Pages 9862-9874

  Bagheri, Mehdi ^a   Zollanvari, Amin ^a   Nezhivenko, Svyatoslav ^a  

^a NAZARBAYEV UNIVERSITY   (Kazakhstan)

Author keywords

IoT in power system; online transformer assessment; prediction; prognosis; regression; signal modeling; vibration analysis

Indexed keywords

FORECASTING; INDUSTRY 4.0; INSULATION; INTERNET OF THINGS; LEARNING SYSTEMS; MAGNETOSTRICTION; OIL FILLED TRANSFORMERS; POWER TRANSFORMERS; SIGNAL PROCESSING; VIBRATIONS (MECHANICAL);

OIL INSULATIONS; ONLINE TRANSFORMERS; POWER SYSTEM; POWER TRANSFORMER INSULATION; PREDICTIVE MODELS; PROGNOSIS; REGRESSION; SIGNAL MODELING; TRANSFORMER CORE; VIBRATIONS;

VIBRATION ANALYSIS;

EID: 85042733620     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2018.2809436     Document Type: Article

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