DocumentCode
3285181
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
Volume
01
fYear
2008
fDate
23-25 Sept. 2008
Firstpage
96
Lastpage
107
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/APEIE.2008.4897067
Filename
4897067
Link To Document