Conditional Monte Carlo With Intermediate Estimations for Simulation of Markovian Systems

Cancela, Héctor; Murray, Leslie; Rubino, Gerardo

doi:10.1016/j.entcs.2016.02.002

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…Hector et al, 2016 [33], proposed a Monte Carlo approach, Conditional Monte Carlo with Intermediate Estimations (CMIEs) where he proposed the reduction of the inconsistency of the assessor with the great and trustworthy Markovian system. But they did not apply it to any particular components and some basic reliability indices were not estimated.…”

Section: Literature Reviewmentioning

confidence: 99%

Archives of Electrical Engineering

Olajuyin,

Olulope,

Fasina

2022

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A Computational Intelligence (CI) approach is one of the main trending and potent data dealing out and processing instruments to unravel and resolve difficult and hard reliability crisis and it takes an important position in intelligent reliability analysis and management of data. Nevertheless, just few little broad reviews have recapitulated the current attempts of Computational Intelligence (CI) in reliability assessment in power systems. There are many methods in reliability assessment with the aim to prolong the life cycles of a system, to maximize profit and predict the life cycle of assets or systems within an organization especially in electric power distribution systems. Sustaining an uninterrupted electrical energy supply is a pointer of affluence and nationwide growth. The general background of reliability assessment in power system distribution using computational intelligence, some computational intelligence techniques, reliability engineering, literature reviews, theoretical or conceptual frameworks, methods of reliability assessment and conclusions was discussed. The anticipated and proposed technique has the aptitude to significantly reduce the needed period for reliability investigation in distribution networks because the distribution network needs an algorithm that can evaluate, assess, measure and update the reliability indices and system performance within a short time. It can also manage outages data on assets and on the entire system for quick and rapid decisions making as well as can prevent catastrophic failures. Those listed above would be taken care of if the proposed method is utilized. This overview or review may be deemed as valuable assistance for anybody doing research.

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Section: Literature Reviewmentioning

confidence: 99%