Physics-based life distribution and reliability modeling of SSD

2013 ◽  
Author(s):  
Feng-Bin Sun ◽  
A. Parkhomovsky
Keyword(s):  
Life Distribution ◽  
Reliability Modeling

scholarly journals Shock models leading to G* class of lifetime distributions

2020 ◽  
Vol 9 (2) ◽  
pp. 61-66
Author(s):  
K.V. Jayamol ◽  
K. K. Jose
Keyword(s):  
Poisson Process ◽  
Damage Model ◽  
Probability Generating Function ◽  
Stochastic Ordering ◽  
Life Distribution ◽  
Lifetime Distributions ◽  
Reliability Modeling ◽  
Shock Models ◽  
Failure Distribution ◽  
Cumulative Damage Model

In this paper we study a stochastic ordering namely alternate probability generating function (a.p.g.f .... ) ordering and its properties. The life distribution H(t) of a device subject to shocks governed by a Poisson process is considered as a function of the probabilities Pk of surviving the first k shocks. Various properties of the discrete failure distribution Pk are shown to be reflected in corresponding properties of the continuous life distribution H(t). A certain cumulative damage model and various applications of these models in reliability modeling are also considered.

Method for the reliability modeling of selfrepairing onboard information systems

1998 ◽  
Vol 4 (4) ◽  
pp. 55-60
Author(s):  
B.A. Mandziy ◽  
◽  
V.P. Belyaev ◽  
B.Yu. Volotchiy ◽  
◽  
...  
Keyword(s):  
Information Systems ◽  
Reliability Modeling

A Note on Shot-Noise and Reliability Modeling,

1984 ◽  
Author(s):  
A. J. Lemoine ◽  
M. L. Wenocur
Keyword(s):  
Shot Noise ◽  
Reliability Modeling

Minimal distributions in a stochastic partial ordering and bounds for Gaussian processes

1983 ◽  
Vol 20 (03) ◽  
pp. 529-536
Author(s):  
W. J. R. Eplett
Keyword(s):  
Gaussian Process ◽  
Gaussian Processes ◽  
Partial Ordering ◽  
Boundary Crossing ◽  
Conditional Probabilities ◽  
Life Distribution ◽  
Life Distributions ◽  
Bounded Below ◽  
Crossing Probabilities

A natural requirement to impose upon the life distribution of a component is that after inspection at some randomly chosen time to check whether it is still functioning, its life distribution from the time of checking should be bounded below by some specified distribution which may be defined by external considerations. Furthermore, the life distribution should ideally be minimal in the partial ordering obtained from the conditional probabilities. We prove that these specifications provide an apparently new characterization of the DFRA class of life distributions with a corresponding result for IFRA distributions. These results may be transferred, using Slepian's lemma, to obtain bounds for the boundary crossing probabilities of a stationary Gaussian process.

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