Bearing fault prognosis based on health state probability estimation

Expert Systems with Applications

Volumn 39, Issue 5, 2012, Pages 5200-5213

  Kim, Hack Eun ^a   Tan, Andy C C ^a   Mathew, Joseph ^a   Choi, Byeong Keun ^b  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b Gyeongsang National University   (South Korea)

Author keywords

Degradation stage; High pressure LNG pump; Prognosis; Remaining useful life (RUL); Support Vector Machine (SVM)

Indexed keywords

BEARING FAULT; CLOSED LOOPS; CONDITION-BASED MAINTENANCE; DEGRADATION PROCESS; DIAGNOSTICS AND PROGNOSTICS; FAILURE CHARACTERISTICS; HISTORICAL DATA; INDUSTRIAL MACHINERY; LIFE PREDICTIONS; LONG-TERM PREDICTION; MAINTENANCE ENGINEERS; OPERATING CONDITION; PROGNOSIS; REAL ENVIRONMENTS; REMAINING USEFUL LIVES; REMEDIAL ACTIONS; STATE PROBABILITY; SUPPORT VECTOR; SYSTEM-BASED;

DEGRADATION; ESTIMATION; FORECASTING; HEALTH; LIQUEFIED NATURAL GAS; MACHINERY; MAINTENANCE; SHAFTS (MACHINE COMPONENTS);

SUPPORT VECTOR MACHINES;

EID: 84855865261     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.11.019     Document Type: Article

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