A New Reliability Assessment Method for Complex Nuclear Power Equipment Based on Goal Oriented Methodology

Author(s):  
Yi Xiao-jian ◽  
Lu Ming-chao ◽  
Mu Hui-na ◽  
Shi Jian ◽  
Hou Peng

This paper presents a new reliability assessment method for complex nuclear power equipment based on Goal Oriented (GO) method to evaluate Mean Time To Failures (MTTF). First, the new reliability assessment method is expounded in detail. And its process is formulated. Then, the electronic control system of hoisting mechanism in nuclear power plant is taken as an example to evaluate its MTTF by the new method. The reliability assessment processes are mainly as follows: (i) Conducting system analysis, (ii) Developing GO model, (iii) Selecting test unit by qualitative analysis of GO method, (iv) Collecting test data, (v) Estimating the failure rate of test unit, (vi) Evaluating system MTTF. In order to verify the advantages and rationality of the new reliability assessment method, the results are compared with the results by Monte Carlo method. All in all, this reliability assessment method not only improves the theory of GO method, which is only used to conduct reliability analysis before; but also provides a new approach for reliability assessment of complex nuclear power equipment, so than it can reduces costs, and improve estimating efficiency and accuracy.

Author(s):  
Yi Xiao-jian ◽  
Xie Yong-cheng ◽  
Shi Jian ◽  
Mu Hui-na ◽  
Hou Peng

This paper presents a new reliability optimization allocation method for complex nuclear power systems based on Goal Oriented (GO) method, whose goal is to minimize the system cost. First, the new reliability optimization allocation method is expounded in detail. And its process is formulated. Then, the hoisting mechanism in nuclear power plant is taken as an example to allocate its system reliability index to design unit by the new method. The reliability optimization allocation processes are mainly as follows: (i) Conducting system analysis, (ii) Developing GO model, (iii) Establishing reliability optimization allocation mathematic model, (iv) Solving the reliability optimization allocation mathematic model, (v) Determining the allocation results. The results analysis shows that the system costs for different solving times turn to a relatively stable value, and the allocated reliability indexes of unit are satisfied with engineering requirements. All in all, this new reliability optimization allocation method can not only obtain the reasonable allocation results quickly and effectively, but it also can overcome the disadvantages of existing reliability optimization allocation methods for complex nuclear power systems efficiently. Moreover, this paper provides a new approach for the reliability optimization allocation of complex nuclear power systems.


2020 ◽  
Vol 14 (1) ◽  
pp. 217-227
Author(s):  
Palash Dutta ◽  
Nisha Gohain

Aim: To devise an effective structural failure analysis approach under uncertainty. Background: In reliability evaluation, plenty of factors are uncertain, or sometimes, spontaneously represented via linguistic expressions, and as a consequence, the traditionalist appraisal methods cannot capably handle the ambiguity and vagueness that occurs in reliability assessment components. Subsequently, this leads to the problem of tremendous computationally multifaceted and scanty correctness. Objective: To overcome the limitations and to develop efficiency as well as accuracy in structural failure evaluation techniques, an attempt has been made to devise a novel structural reliability assessment method via credibility distribution. Methods: To get rid of the problems of massive computationally difficult and inadequate precision, an algorithm has been devised using credibility sampling. To exhibit the novelty, validity, and applicability of the present approach, some structural failure assessment problems are solved along with a comparison with the existing approach. Results: The proposed method was verified by four examples and applied in structural analysis. It was observed that the present approach is technically sound and efficient; it can overcome all the drawbacks of the existing approach. Moreover, the approach can be executed in any uncertain situation. Conclusion: After evaluation of failure assessment, it is experienced that the increase in the number of simulations leads to better precision. Furthermore, it is encountered that when hybridization problems i.e., representation of imprecise components in the problem of structural failure, are both fuzzy and probabilistic nature, then the failure assessment is attained to be maximum.


10.12737/2774 ◽  
2014 ◽  
Vol 3 (1) ◽  
pp. 15-23 ◽  
Author(s):  
Федорец ◽  
Aleksandr Fedorets

In this paper the system analysis of "risk for worker’s life and health, caused by production activity" concept has been carried out for the first time. This risk has been presented as a structure, consisting of isolated compound particular risks, each of which has its personal risk owner. Extra attention has been paid to a "risk owner" concept and its role in risk analysis. Meaninglessness related to analysis, evaluation and management of a "general (abstract) risk" without reference to a particular owner of "specific risk" has been shown. A new approach to the analysis of multilateral risk has been offered. Six risk analysis postulates have been formulated on this new approach’s basis. Based on these postulates next conclusion has been made: subject and object of the risk both are one person this risk owner.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 5151-5161 ◽  
Author(s):  
Yi Ren ◽  
Chenchen Zeng ◽  
Dongming Fan ◽  
Linlin Liu ◽  
Qiang Feng

Author(s):  
V. Skibchyk ◽  
V. Dnes ◽  
R. Kudrynetskyi ◽  
O. Krypuch

Аnnotation Purpose. To increase the efficiency of technological processes of grain harvesting by large-scale agricultural producers due to the rational use of combine harvesters available on the farm. Methods. In the course of the research the methods of system analysis and synthesis, induction and deduction, system-factor and system-event approaches, graphic method were used. Results. Characteristic events that occur during the harvesting of grain crops, both within a single production unit and the entire agricultural producer are identified. A method for predicting time intervals of use and downtime of combine harvesters of production units has been developed. The roadmap of substantiation the rational seasonal scenario of the use of grain harvesters of large-scale agricultural producers is developed, which allows estimating the efficiency of each of the scenarios of multivariate placement of grain harvesters on fields taking into account influence of natural production and agrometeorological factors on the efficiency of technological cultures. Conclusions 1. Known scientific and methodological approaches to optimization of machine used in agriculture do not take into account the risks of losses of crops due to late harvesting, as well as seasonal natural and agrometeorological conditions of each production unit of the farmer, which requires a new approach to the rational use of rational seasonal combines of large agricultural producers. 2. The developed new approach to the substantiation of the rational seasonal scenario of the use of combined harvesters of large-scale agricultural producers allows taking into account the costs of harvesting of grain and the cost of the lost crop because of the lateness of harvesting at optimum variants of attraction of additional free combine harvesters. provides more profit. 3. The practical application of the developed road map will allow large-scale agricultural producers to use combine harvesters more efficiently and reduce harvesting costs. Keywords: combine harvesters, use, production divisions, risk, seasonal scenario, large-scale agricultural producers.


2014 ◽  
Vol 83 (4) ◽  
pp. 270-274 ◽  
Author(s):  
Masashi KAMEYAMA

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