On-line Reliability Estimation for Individual Components Using Statistical Degradation Signal Models

@inproceedings{ChinnamOnlineRE,
  title={On-line Reliability Estimation for Individual Components Using Statistical Degradation Signal Models},
  author={Ratna Babu Chinnam}
}
With very few exceptions, most contemporary reliability engineering methods are geared towards estimating a population characteristic(s) of a system, subsystem or component. The information so extracted is extremely valuable for manufacturers and others that deal with product in relatively large volumes. In contrast, end users are typically more interested in the behavior of a ‘particular’ component used in their system to arrive at optimal component replacement or maintenance strategies… CONTINUE READING
19 Citations
20 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 19 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 20 references

Using degradation measures to estimate a time-to-failure distribution

  • CJ Lu, WQ Meeker
  • Technometrics
  • 1993
Highly Influential
10 Excerpts

Applied Linear Regression Models

  • J Neter, W Wasserman, MH. Kutner
  • Irwin: Chicago,
  • 1989
Highly Influential
8 Excerpts

Estimation of time-to-failure distribution from a degradation model using fuzzy clustering

  • Wu S-J, Tsai T-R
  • Quality and Reliability Engineering International
  • 2000
Highly Influential
4 Excerpts

Statistical Methods for Reliability Data

  • WQ Meeker, LA Escobar
  • Wiley: New York,
  • 1998
Highly Influential
3 Excerpts

Reliability prediction using nondestructive accelerated-degradation data: Case study on power supplies

  • LC Tang, DS Chang
  • IEEE Transactions on Reliability
  • 1995
Highly Influential
5 Excerpts

The Jackknife, the Bootstrap and Other Resampling Plans (Regional Confidence Series in Applied Mathematics, vol. 38)

  • B. Efron
  • Society of Industrial and Applied Mathematics…
  • 1982
Highly Influential
4 Excerpts

Reliability analysis using the leastsquares method in nonlinear mixed-effect degradation models

  • Wu S-J, J Shao
  • Statistica Sinica
  • 1999
2 Excerpts

Similar Papers

Loading similar papers…