Reliability of k-out-of-n:G systems with imperfect fault-coverage

Fault tolerant networks are being used to provide more reliable network connections. Development of the fault-tolerant computing system requires accurate reliability modeling. Numerical formulations and complex models are commonly used for obtaining reliability measures. These measures are functions of component failure rates and fault-coverage. Coverage provides information about the fault and error detection, isolation and system recovery capabilities. This research studied a system consisting three units in parallel with three types of failures namely catastrophic, human and unit failures incorporating the coverage factor and evaluated the various reliability measures of the considered multi-state system subject to imperfect fault coverage.

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“…S 1 The system is in the degraded state due to unit failure. S 2 The system is in the degraded state due to unit failure.…”

Section: Resultsmentioning

confidence: 99%

Performance Evaluation of a Multi-state System Covering Imperfect Fault Coverage

Ram

Manglik

2014

Communications in Statistics - Simulation and Computation

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“…In practical the failures of the system may not be covered always because of the non availability of repairmen in repair facility. Shakil Akhtar [64] studied reliability of k-out-of-n system with imperfect fault coverage. In his paper both possibilities of a k-out-of-n model with sensor in which all the failure can be repaired and another model in which the failures can lead to an absorbing state in which there is no transmission is possible to a functional state is discussed.…”

Section: K-out-of-n System With Fault Coveragementioning

confidence: 99%

Reliability Analysis of k-out-of-n: G System: A Short Review

Krishnan¹

2020

IJEAS

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“…Pham [1] examined a high voltage system with imperfect coverage in which the failure rate of the fault coverage was a constant. Akhtar [2] analyzed the reliability of K-out-of-n: G system with imperfect fault coverage. Moustafa [3] studied a K-out-of-N system with imperfect coverage.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Reliability Evaluation of a Repairable System with Imperfect Coverage, Reboot and Common-cause Shock Failure

Choudhary¹,

Agarwal²

2012

ije

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In the present investigation, we deal with the reliability characteristics of a repairable system consisting of two independent operating units, by incorporating the coverage factor. The probability of the successful detection, location and recovery from a failure is known as the coverage probability. The reboot delay and common cause shock failure are also considered. The times to failure of the components, time to failure due to common cause, time to repair and time to reboot are assumed to follow exponential distributions. The Markov model of the system is developed and the system state transition probabilities are determined which are further used to evaluate some reliability indices such as availability and mean time to failure. We use fuzzy logic approach for analyzing the system performance by assuming the trapezoidal membership functions of the system descriptors viz. failure rates and repair rates. The fuzzy mean time to failure and fuzzy availability have been established. A numerical experiment has been performed to validate the analytical results.

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Reliability of k-out-of-n:G systems with imperfect fault-coverage

Cited by 29 publications

References 4 publications

Performance Evaluation of a Multi-state System Covering Imperfect Fault Coverage

Performance Evaluation of a Multi-state System Covering Imperfect Fault Coverage

Reliability Analysis of k-out-of-n: G System: A Short Review

Fuzzy Reliability Evaluation of a Repairable System with Imperfect Coverage, Reboot and Common-cause Shock Failure

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