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Inicio  /  Applied Sciences  /  Vol: 10 Par: 19 (2020)  /  Artículo
ARTÍCULO
TITULO

A Fuzzy Markov Model for Risk and Reliability Prediction of Engineering Systems: A Case Study of a Subsea Wellhead Connector

Nan Pang    
Peng Jia    
Peilin Liu    
Feng Yin    
Lei Zhou    
Liquan Wang    
Feihong Yun and Xiangyu Wang    

Resumen

The reliability of many engineering systems (such as offshore and subsea equipment, aerospace equipment, energy production equipment, etc.) is very important, but due to a lack of sufficient failure data, their reliability is difficult to accurately evaluate. If the data is obtained through experiments, it will consume a huge amount of money, manpower and time, and there is no suitable experiment to perform an accurate simulation. The method in this paper completely solves this problem. The method proposed in this paper can not only obtain accurate reliability and availability, but also evaluate the impact of uncertain events on system reliability during equipment operation.

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