Research on maintenance strategy of marine construction equipment system baced on Reliability Function Deployment

Author(s):  
Guang-xi Sun
2014 ◽  
Vol 3 ◽  
pp. 11
Author(s):  
Hualiang Liu

The implementation of the intelligent building of the general contractor in charge of the project construction drawings installation and testing design, equipment, materials, supplies and transportation, pipeline construction, equipment, system debugging through the acceptance of the relevant opening and administration until delivery. Composition and engineering techniques. This paper describes the architecture of intelligent systems and concluded that the implementation of intelligent building elements


2020 ◽  
Vol 10 (19) ◽  
pp. 6957
Author(s):  
Awsan Mohammed ◽  
Ahmed Ghaithan ◽  
Mashel Al-Saleh ◽  
Khalaf Al-Ofi

The unloading of petroleum products is a complex and potentially dangerous operation since the unloading system contains complex interdependency components. Any failures in one of its components lead to a cut in the petroleum supply chain. Therefore, it is important to assess and evaluate the reliability of the unloading system in order to improve its availability. In this context, this paper presents the operation philosophy of the truck unloading system, failure modes of the components within the system, and a bottom-up approach to analyze the reliability of the system. In addition, it provides reliability data, such as failure rates, and mean time between failures of the system components. Furthermore, the reliability of the whole system was calculated and is presented for different time periods. The critical components, which are major contributors towards the system reliability, were identified. To enhance the system reliability, a reliability-based preventive maintenance strategy for the critical components was implemented. In addition, the preventive maintenance scheduling was identified based on the reliability plots of the unloading system. The best schedule for preventive maintenance of the system was determined based on the reliability function to be every 45 days for maintaining the system reliability above 0.9. Findings reveal that the reliability of the unloading system was significantly improved. For instance, the system reliability at one year improved by 80%, and this ratio increased dramatically as the time period increased.


2012 ◽  
Vol 215-216 ◽  
pp. 817-825 ◽  
Author(s):  
You Ling Chen ◽  
Ya Xuan Ma ◽  
Dou Zhang ◽  
Juan Tang

This paper deals with the research on method for the optimum equipment preventive maintenance strategy based on equipment reliability and equipment residual life in indirect condition monitoring. We use the Markov chain to express the equipment deterioration condition and propose the equipment reliability function; besides, study on the equipment condition probability distribution and establish the equipment residual life model by using the Bayes rule and the hidden Markov model, based on the above research background, we obtain the optimum maintenance decision criteria by analyzing the equipment maintenance strategy based on equipment reliability and equipment residual life in indirect monitoring. Finally, a case study is given to illustrate the implementation of the optimum maintenance decision criteria in indirect monitoring.


2014 ◽  
Vol 3 (1) ◽  
pp. 11
Author(s):  
Hualiang Liu

The implementation of the intelligent building of the general contractor in charge of the project construction drawings installation and testing design, equipment, materials, supplies and transportation, pipeline construction, equipment, system debugging through the acceptance of the relevant opening and administration until delivery. Composition and engineering techniques. This paper describes the architecture of intelligent systems and concluded that the implementation of intelligent building elements


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