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Reliability modelling of stochastic wear-out failure

  • Published:1989-01 Issue:4 Volume:25 Page:303-314
  • ISSN:0951-8320
  • Container-title:Reliability Engineering & System Safety
  • language:en
  • Short-container-title:Reliability Engineering & System Safety

Author:

Goh C.J.,Tang L.C.,Lim S.C.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference19 articles.

1. Probabilistic Reliability: An Engineering Approach;Shooman,1968

2. A replacement policy based on limits for the repair cost rate;Beichelt;IEEE Trans. Reliab.,1985

3. Confidence bounds for the percentiles of a wear out failure distribution;Beichelt;IEEE Trans. Reliab.,1985

4. The inverse Gaussian distribution as a lifetime model;Chhikara;Technometrics,1977

5. First passage of nonstationary random processes;Corotis;Trans. ASCE, J. Eng. Mech.,1972

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1. Wear Modeling Revisited Using Feedback Control Theory;Intelligent Manufacturing and Energy Sustainability;2021

2. GLM‐based control charts for the inverse Gaussian distributed response variable;Quality and Reliability Engineering International;2019-12-20

3. A New Technique of Intelligent Constructing Unbiased Prediction Limits on Future Order Statistics Coming from an Inverse Gaussian Distribution under Parametric Uncertainty;Automatic Control and Computer Sciences;2019-05

4. Reliability Analysis of Repairable Systems With Incomplete Failure Time Data;IEEE Transactions on Reliability;2018-09

5. Probabilistic Assessment for Concrete Spalling in Tunnel Structures;ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering;2017-12
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