DocumentCode :
3286954
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, M.
Volume :
01
fYear :
2008
fDate :
23-25 Sept. 2008
Firstpage :
199
Lastpage :
199
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 :
Acceleration; Degradation; Electromagnetic modeling; Failure analysis; Fatigue; Filters; Multidimensional systems; Polynomials; Software systems; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Instrument Engineering, 2008. APEIE 2008. 9th International Conference on Actual Problems of
Conference_Location :
Novosibirsk, Russia
Print_ISBN :
978-1-4244-2825-0
Type :
conf
DOI :
10.1109/APEIE.2008.4897181
Filename :
4897181
Link To Document :
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