Title :
Statistical methods to analyse failures of complex systems in presence of wear, fatigue and degradation: An engineering perspective in accelerated trials
Author :
Bagdonavicius, V. ; Nikulin, Mikhail
Author_Institution :
Vilnius Univ., Vilnius
Abstract :
Dynamic regression models are exposed. They are well adapted to study the phenomena of longevity, aging, fatigue and degradation of complex system, and hence to be used in organization of the efficient statistical process of quality control in dynamic environments.
Keywords :
failure analysis; fatigue; regression analysis; wear; complex system; degradation; dynamic regression models; failure analysis; fatigue; statistical methods; wear; Acceleration; Aging; Degradation; Failure analysis; Fatigue; Hazards; Life estimation; Life testing; Statistical analysis; Stress; AFT model; Accelerated trials; CHSS model; Cox model; GPH model; Sedyakin model; aging; cross-effects of survivals; degradation model; hazard rate; hypothesis operating unit; redundant system; reliability; step-stress; stress; survival analysis; warm stand-by unit;
Conference_Titel :
Electronic Instrument Engineering, 2008. APEIE 2008. 9th International Conference on Actual Problems of
Conference_Location :
Novosibirsk
Print_ISBN :
978-1-4244-2825-0
DOI :
10.1109/APEIE.2008.4897067
