DocumentCode :
1369499
Title :
Absolute vs. comparative end-of-life age
Author :
Bruning, A.M. ; Kasture, D.G. ; Ascher, H.E.
Author_Institution :
Lectromechanical Design Co., Herndon, VA, USA
Volume :
3
Issue :
4
fYear :
1996
fDate :
8/1/1996 12:00:00 AM
Firstpage :
567
Lastpage :
576
Abstract :
Conventional insulation statistics typically use test averages of a normal, log normal, or Weibull distribution to compare the quality of different materials or constructions. None of these numbers characterizes an age at end of life with a near 100% reliability, which is necessary to predict when failure occurs. This is a major fundamental and misleading aspect in the manner in which life and age data is reported. The distributed nature of insulation aging and failure requires taking into account the length of samples to report age at end of life. This implies that probability of failure at any time should be reported as a function of cable length. Simply reporting an average probability of failure can endanger human life and have negative economic consequences. This paper shows test data and a method of calculating end of life that provides high reliability operation of aircraft wire that is aging from root-cause stresses. The authors believe this paper treats a major refinement which is essential for realistic prediction of insulation end of life, for instance in the control of reliable operation of aircraft electrical wiring. This technique is now being used in maintenance scheduling of active aircraft and is hoped to influence future revisions of standards
Keywords :
Weibull distribution; ageing; aircraft; aircraft testing; avionics; failure analysis; insulation testing; life testing; log normal distribution; normal distribution; reliability; wiring; Weibull distribution; active aircraft; aging; aircraft electrical wiring; cable length; end-of-life age; failure probability; insulation statistics; log normal distribution; normal distribution; reliability; standard; test average; Aging; Aircraft; Building materials; Insulation testing; Materials testing; Power cable insulation; Power cables; Statistical analysis; Statistical distributions; Weibull distribution;
fLanguage :
English
Journal_Title :
Dielectrics and Electrical Insulation, IEEE Transactions on
Publisher :
ieee
ISSN :
1070-9878
Type :
jour
DOI :
10.1109/94.536737
Filename :
536737
Link To Document :
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