Skip to main content
Top

2019 | OriginalPaper | Chapter

7. Time-to-Failure Statistics

Author : J. W. McPherson

Published in: Reliability Physics and Engineering

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

When nearly identically processed materials/devices are placed under the same set of stress conditions, they will not fail exactly at the same time. An explanation for this occurrence is that slight differences can exist in the materials’ microstructure, even for materials/devices processed nearly identically. This means that not only are we interested in time-to-failure but, more precisely, we are interested in the distribution of times-to-failure. Once the distribution of times-to-failure is established, then one can construct a probability density function f(t) which will permit one to calculate the probability of observing a failure in any arbitrary time interval between t and t + dt, as illustrated in Fig. 7.1.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Appendix
Available only for authorised users
Footnotes
1
Note that the lognormal distribution has the same general form as does the normal distribution in Chap. 5. The major differences are: (1) the natural logarithm of time ln(t) is used rather simply the time t; and (2) σ now represents the logarithmic standard deviation σ = ln(t50/t16). Also, the (1/t) in the prefactor of the lognormal distribution is needed to ensure that f(t)dt will continue to represent the probability of failure. This is due to the fact that dln(t) = (1/t)dt.
 
2
Note that any cumulative fraction F, and its corresponding failure time, may be used in Eq. (7.8) to determine the Weibull slope. The author’s preference is to use F = 0.1 and t10. However, this is only a preference, not a requirement.
 
3
A lognormal distribution was used here but a Weibull distribution could have been used and would show similar results.
 
4
A lognormal distribution could also have been used and would produce similar results.
 
Literature
go back to reference Dhillon, B. and C. Singh: Engineering Reliability, John Wiley & Sons, (1981). Dhillon, B. and C. Singh: Engineering Reliability, John Wiley & Sons, (1981).
go back to reference McPherson, J.: Reliability Physics. In: Handbook of Semiconductor Manufacturing Technology, Marcel Dekker, 959 (2000). McPherson, J.: Reliability Physics. In: Handbook of Semiconductor Manufacturing Technology, Marcel Dekker, 959 (2000).
go back to reference Miller, I. and J. Freund: Probability and Statistics for Engineers 2nd Ed., Prentice Hall, (1977). Nelson, W.: Accelerated Testing, John Wiley and Sons, (1990). Miller, I. and J. Freund: Probability and Statistics for Engineers 2nd Ed., Prentice Hall, (1977). Nelson, W.: Accelerated Testing, John Wiley and Sons, (1990).
Metadata
Title
Time-to-Failure Statistics
Author
J. W. McPherson
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-319-93683-3_7