A new sample-based approach to predict system performance reliability

IEEE Transactions on Reliability

Volumn 57, Issue 2, 2008, Pages 322-330

  Son, Young Kap ^a   Savage, Gordon J ^b  

^a Andong National University   (South Korea)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Component degradation; Monte Carlo simulation; Random environmental conditions; Set theory; Systems performance reliability

Indexed keywords

ARCHITECTURAL DESIGN; COMPUTER NETWORKS; COSMIC RAY DETECTORS; DEGRADATION; DISTRIBUTION FUNCTIONS; ERRORS; MONTE CARLO METHODS; MULTITASKING; NUMERICAL ANALYSIS; PROBABILITY; PROBABILITY DISTRIBUTIONS; RISK ASSESSMENT; SET THEORY; SULFATE MINERALS; SYSTEMS ENGINEERING;

(E ,2E) THEORY; CRITICAL LEVELS; CUMULATIVE FAILURE; DEGRADATION RATES; DESIGN STAGES; DISCRETE TIME (DT); ENVIRONMENTAL CONDITIONING; FAILURE PROBABILITIES; MONTE CARLO SIMULATION (MCS); MULTIPLE FAILURES; NON CONFORMANCE; PERFORMANCE RELIABILITY; PRACTICAL IMPLEMENTATION; STATE FUNCTIONS; SYSTEM FAILURES; SYSTEM PERFORMANCE MEASURES; SYSTEM PERFORMANCES; TEMPERATURE CONTROLLERS; TIME VARIANT; TIME-DEPENDENT;

ERROR ANALYSIS;

EID: 45549101633     PISSN: 00189529     EISSN: None     Source Type: Journal    
DOI: 10.1109/TR.2008.920864     Document Type: Article

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