A statistical approach to prognostics

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4389, Issue 1, 2001, Pages 23-34

  Phelps, Ethan ^a   Willett, Peter ^a   Kirubarajan, Thiagalingam ^a  

^a UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

Binary; Condition based maintenance; IMM; Kalman filter; Prognostics; Random signals; TEAMS

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; COMPUTER SIMULATION; MATHEMATICAL MODELS; MATRIX ALGEBRA; PROBABILITY DENSITY FUNCTION; VECTORS;

BINARY RANDOM SIGNALS;

KALMAN FILTERING;

EID: 0034774104     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.434249     Document Type: Article

References (9)

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6. AR modeling with dimension reduction for machinery fault classification
7. Hybrid reasoning for prognostic learning in systems
8. A general prognostic tracking algorithm for predictive maintenance