Quantitative Reliability Evaluation of Repairable Phased-Mission Systems Using Markov Approach

Alam, Meheboob; Al‐Saggaf, Ubaid M.

doi:10.1109/tr.1986.4335529

Cited by 132 publications

(95 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As soon as a failure signal is received, the sensor system E will activate the cold spare C through controlling the switch D. Hence, the WSP fails if pump A or B fails after D or E fails. In addition, the sensor system E is dependent on the power suppliers P 1 and P 2 among which P 1 is the primary supplier and P 2 is a cold spare as P 1 . The simplified DFT model of the system is shown in Fig.…”

Section: A Case Studymentioning

confidence: 99%

See 1 more Smart Citation

SFRs-based numerical simulation for the reliability of highly-coupled DFTS

Meng

et al. 2015

Eksploatacja i Niezawodnosc - Maintenance and Reliability

View full text Add to dashboard Cite

show abstract

Section: A Case Studymentioning

confidence: 99%

“…The problem is how to quantify the reliability index of complex systems modeled by highlycoupled DFTs. Markov-based methods [1,15,19] have been proved to be efficient and versatile. But these approaches are subjected to the problem of "state space explosion".…”

Section: Introductionmentioning

confidence: 99%

SFRs-based numerical simulation for the reliability of highly-coupled DFTS

Meng

et al. 2015

Eksploatacja i Niezawodnosc - Maintenance and Reliability

View full text Add to dashboard Cite

show abstract

“…However, when underway the transition to recovery or loss depends on the mission distance, which is generally directly related to time [10].…”

Section: Markov Chain State Model For Auv Operationsmentioning

confidence: 99%

“…The approach was extended to model multi-phased systems [10]. The term multi-phased system is used to describe a system that either changes structure, or whose failure characteristics change during its operation or mission.…”

Section: Introductionmentioning

confidence: 99%

A Markov Chain State Transition Approach to Establishing Critical Phases for AUV Reliability

Brito

Griffiths

2011

IEEE J. Oceanic Eng.

View full text Add to dashboard Cite

Abstract-The deployment of complex autonomous underwater platforms for marine science comprises a series of sequential steps. Each step is critical to the success of the mission. In this paper we present a state transition approach, in the form of a Markov chain, which models the sequence of steps from pre-launch to operation to recovery. The aim is to identify the states and state transitions that present higher risk to the vehicle and hence to the mission, based on evidence and judgment.Developing a Markov chain consists of two separate tasks. The first defines the structure that encodes the sequence of events. The second task assigns probabilities to each possible transition. Our model comprises eleven discrete states, and includes distance-dependent underway survival statistics. The integration of the Markov model with underway survival statistics allows us to quantify the likelihood of success during each state and transition and consequently the likelihood of achieving the desired mission goals. To illustrate this generic process, the fault history of the Autosub3 autonomous underwater vehicle provides the information for different phases of operation. The method proposed here adds more detail to previous analyses; faults are discriminated according to the phase of the mission in which they took place.

show abstract

“…Submarine free-running model test contains sailing and other phases, which require different equipment, so it is a typical phased mission system [1]. Since the study on phased mission system reliability [2] was proposed in 1975, it has always been the focus in the field of system reliability.…”

Section: Introductionmentioning

confidence: 99%

Reliability Optimization Design of Submarine Free-Running Model Systems

Yang¹,

Li²

2016

IJET

View full text Add to dashboard Cite

Abstract-With regard to the reliability design of submarine free-running model system, this paper puts forward a focused design method for optimization of reliability. After constructing a matrix task profile, the reliability modeling theory of phased mission system is employed to build a system reliability model, and the measures for technical improvement are brought forward according to the results of FMEA analysis. Reliability redundancy optimization model is established based on volume, weight and cost and solved by using particle swarm optimization. A case is presented to illustrate the effectiveness and reliability of optimization design.Index Terms-Submarine free-running model, reliability optimization, phased mission system, redundancy design.

show abstract

Quantitative Reliability Evaluation of Repairable Phased-Mission Systems Using Markov Approach

Cited by 132 publications

References 3 publications

SFRs-based numerical simulation for the reliability of highly-coupled DFTS

SFRs-based numerical simulation for the reliability of highly-coupled DFTS

A Markov Chain State Transition Approach to Establishing Critical Phases for AUV Reliability

Reliability Optimization Design of Submarine Free-Running Model Systems

Contact Info

Product

Resources

About