Test interval optimization of safety systems of nuclear power plant using fuzzy-genetic approach

Rao, K. Durga; Vinod, Gopika; Kushwaha, H.S.; Verma, Ajit Kumar; Srividya, A.

doi:10.1016/j.ress.2006.05.009

Cited by 24 publications

(3 citation statements)

References 13 publications

(26 reference statements)

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“…In the work of Yang, 8 a combination of FRB inference system and evidential reasoning (ER) is employed in risk assessment and control of basic events in container supply chain systems. Other relevance of the FRB method has been illustrated in the works of Jones et al 10 and Durga et al 11 The capability of the FRB in addressing maritime problems associated with uncertainty is not in doubt as evidenced in the literature above. These literature reviews justify the use of FRB method in combination with the UT method in FCR prediction of marine vessels.…”

Section: Introductionmentioning

confidence: 94%

A combined algorithm approach to fuel consumption rate analysis and prediction of sea-worthy diesel engine-powered marine vessels

Nwaoha

Ombor

Okwu

2016

Proceedings of the Institution of Mechanical Engineers, Part M:

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Prediction of fuel consumption rate level of a vessel per voyage posed to be a challenge under uncertainties. In such uncertain conditions, revealing of fuel consumption rate levels of the fleet of vessels is deemed imperative to ensure effective and efficient operations of the vessels per voyage. Therefore, development of uncertainty treatment model is necessary in this research. A combined algorithm that is made up of fuzzy rule base and utility theory methods is incorporated in the investigation of the fuel consumption rate levels of marine vessels. The mechanism of the algorithm is used to capture and combine all the important parameters that determine the fuel consumption rate level of each marine vessel. The workability of the model is demonstrated. The produced results revealed that the combined algorithm can support estimation of the fuel consumption rate levels of marine vessels and show which vessel is better than the other. Based on the results of this article, the management and crew of a marine vessel are equipped with the necessary decision support tool to optimize, implement and manage improvements on the performance characteristics and fuel consumption rate of their marine vessels during voyages.

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Section: Introductionmentioning

confidence: 94%

A combined algorithm approach to fuel consumption rate analysis and prediction of sea-worthy diesel engine-powered marine vessels

Nwaoha

Ombor

Okwu

2016

Proceedings of the Institution of Mechanical Engineers, Part M:

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“…Shi J [8] obtained the initial value of the preventive replacement cycle through expert advice, combined with the operating experience of nuclear equipment, and used Bias theory to correct the result. K. Durga Rao et al [9] presents a solution to test interval optimization problem with uncertain parameters in the model with fuzzy-genetic approach along with a case of application from a safety system of Indian pressurized heavy water reactor (PHWR). Muhammad Zubair et al [10][11][12] establish alpha factor mode to estimate system unavailability due to Common Cause Failures, present quantitative and qualitative analyses of safety parameters by using online risk monitor system, and study five years data of Emergency Diesel Generator of Daya Bay Nuclear Power Plant through two classical method and Bayesian method.…”

Section: Introductionmentioning

confidence: 99%

Research on optimal maintenance cycle model of nuclear equipment based on left and right fuzzy sorting method

Liu

Zou

Huang

2022

IOP Conf. Ser.: Earth Environ. Sci.

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For the nuclear equipment with high reliability, the optimal maintenance cycle model of nuclear equipments is established by balancing the relationship between working time before component failure and maintenance cost. According to the expert evaluation, the failure of the equipment is analyzed. In the study, the ridge membership function is improved, and the failure probability model is established by using the left and right fuzzy sorting method. It transforms the fuzzy number into the fuzzy probability, so the component fault distribution function is determined. By testing, the model has good applicability and sensitivity. Taking the spent fuel shearing machine as an example, the optimal maintenance cycle of the key parts of the shearing machine is calculated. The results are consistent with the actual conditions, which can provide the basis for the formulation of the nuclear equipment maintenance plan. The results of the study show that the proposed method is of great significance for improving the reliability and maintenance efficiency of nuclear equipment.

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“…Autores como (Martorell S. , Carlos, Sanchez , & Serradell, 2002) (Gopika, Kushwasha, Verma, & Srividya, 1997) (Muñoz, Martorell , & Serradell, 1997) (Martorell, y otros, 2005) (Cepin, M.;, 2011) (Volkanovski, Mavko, Bosevski , Cusevski, & Cepin, 2008) hacen énfasis en el potencial de las aplicaciones informadas en el riesgo en el ámbito nuclear. En (Durga Rago, Gopika, Kushwasha, Verma, & Srividya, 2007), los autores realizan una optimización de las pruebas y mantenimiento basada en algoritmos genéticos y Lógica Fuzzy considerando incertidumbres en los parámetros relativos a fallos y reparaciones. En (Cepin, M., 2002) se propone un método para determinar la planificación óptima de los tiempos de inoperabilidad de sistemas de seguridad basada en la minimización de métricas de riesgo.…”

Section: Optimización Multi-objetivo De Las Pruebas Y Mantenimientounclassified

Gestión de la operación, vigilancia y mantenimiento de equipos de seguridad de centrales nucleares a corto y largo plazo

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Tant per a la presa de decisions informada en el risc per canvis en les bases de llicència com per a la presa de decisions utilitzant el nou model estès, APSE, s'aporten casos d'aplicació que demostren la viabilitat i aplicabilitat dels mateixos.El treball realitzat en la present tesi doctoral s'emmarca dins de la línia d'investigació finançada pel Ministeri d'Economia i Competitivitat en el projecte ENE2013-45540-R,

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Test interval optimization of safety systems of nuclear power plant using fuzzy-genetic approach

Cited by 24 publications

References 13 publications

A combined algorithm approach to fuel consumption rate analysis and prediction of sea-worthy diesel engine-powered marine vessels

A combined algorithm approach to fuel consumption rate analysis and prediction of sea-worthy diesel engine-powered marine vessels

Research on optimal maintenance cycle model of nuclear equipment based on left and right fuzzy sorting method

Gestión de la operación, vigilancia y mantenimiento de equipos de seguridad de centrales nucleares a corto y largo plazo

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