Prognostic modelling options for remaining useful life estimation by industry

Mechanical Systems and Signal Processing

Volumn 25, Issue 5, 2011, Pages 1803-1836

  Sikorska, J Z ^a,b   Hodkiewicz, M ^b   Ma, L ^c  

^a CASWA Pty Ltd   (Australia)

^b UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^c QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Maintenance; Prognostics; Reliability; Remaining useful life (RUL)

Indexed keywords

APPROPRIATE MODELS; ARTIFICIAL NEURAL NETWORK; BUSINESS ENVIRONMENTS; BUSINESS ISSUES; ENGINEERING ASSETS; LIFE EXPECTANCIES; PHYSICAL MODEL; PRACTICAL IMPLEMENTATION; PROCESS FLOW DIAGRAMS; PROGNOSTIC MODEL; PROGNOSTICS; REMAINING USEFUL LIFE PREDICTIONS; REMAINING USEFUL LIVES;

FORECASTING; FUZZY NEURAL NETWORKS; KNOWLEDGE BASED SYSTEMS; MAINTENANCE; PERSONNEL; RESEARCH; STOCHASTIC MODELS;

MODELS;

EID: 79953899252     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2010.11.018     Document Type: Article

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