|
|
| |
| Articles
by
M.A. El-Damcese |
Total Records (
3 ) for
M.A. El-Damcese |
|
 |
| |
|
| |
M.A. El-Damcese
and
A.N. Helmy
|
| |
This study deals with the reliability characteristics of two different series system configurations with mixed standby (include cold and warm standby) components. The failure rates of the primary and warm standby components are assumed to follow the Weibull distribution. The repair time distribution of each server is exponentially distributed. Moreover, we will derive the mean time-to-failure and the steady-state availability for a special case of a serial system of two primary components, two warm standby components and one cold standby component, when the failure and repair rate are constant. |
|
|
| |
|
| |
M.A. El-Damcese
and
N.S. Temraz
|
| |
This study presents Markov models for analysis of availability and reliability for parallel repairable system subject to three types of failure rates (e.g., human, hardware and software) and common cause failure rate. The problem addressed is how applying a Continuous-Time Markov Chain (CTMC) to evaluate availability, reliability and Mean Time to System Failure (MTTFs) for parallel system with repair. In this study, assumed that the working time and the repair time of each component are both arbitrary distributed (e.g., Weibull, exponentially distributed). The Markov method is used to develop generalized expressions for system state probabilities, system availability, system reliability and system mean time to failure. A numerical example is presented in order to illustrate the performance of the model. |
|
|
| |
|
| |
M.A. El-Damcese
|
| |
The problem addressed is how applying a continuous-time homogeneous Markov process to evaluate availability, reliability and MTTF for circular consecutive-k-out-of-n:G system with repairman. In this study, assumed that the working time and the repair time of each component are arbitrarily distributed and every component after repair is as good as new. Each component is classified as either a key component or an ordinary one according to its priority role to the system repair. When the system displays a gradual degradation of its performance, its availability and reliability are then analyzed in terms of fuzzy success states. Key components have priority in repair when failed. By using a continuous-time homogeneous Markov process and the definition of the generalized transition probability, the state transition probabilities of the system are derived. Circular consecutive-7-out-of-10:G system with r repairman for an example is given to show the performance of the model. |
|
|
|
|
| |
|
