Reliability, maintainability and testability （RMT） are important properties of equipment, since they have important influ- ence on operational availability and life cycle costs （LCC）. There- fore, weighting and op...Reliability, maintainability and testability （RMT） are important properties of equipment, since they have important influ- ence on operational availability and life cycle costs （LCC）. There- fore, weighting and optimizing the three properties are of great significance. A new approach for optimization of RMT parameters is proposed. First of all, the model for the equipment operation pro- cess is established based on the generalized stochastic Petri nets （GSPN） theory. Then, by solving the GSPN model, the quantitative relationship between operational availability and RMT parameters is obtained. Afterwards, taking history data of similar equipment and operation process into consideration, a cost model of design, manufacture and maintenance is developed. Based on operational availability, the cost model and parameters ranges, an optimization model of RMT parameters is built. Finally, the effectiveness and practicability of this approach are validated through an example.展开更多
During maintainability demonstration,the maintenance time for complex systems consisting of mixed technologies generally conforms to a mixture distribution.However existing maintainability standards and guidance do no...During maintainability demonstration,the maintenance time for complex systems consisting of mixed technologies generally conforms to a mixture distribution.However existing maintainability standards and guidance do not explain explicitly how to deal with this situation.This paper develops a comprehensive maintainability demonstration method for complex systems with a mixed maintenance time distribution.First of all,a K-means algorithm and an expectation-maximization(EM)algorithm are used to partition the maintenance time data for all possible clusters.The Bayesian information criterion(BIC)is then used to choose the optimal model.After this,the clustering results for equipment are obtained according to their degree of membership.The degree of similarity for the maintainability of different kinds of equipment is then determined using the projection method.By using a Bootstrap method,the prior distribution is obtained from the maintenance time data for the most similar equipment.Then,a test method based on Bayesian theory is outlined for the maintainability demonstration.Finally,the viability of the proposed approach is illustrated by means of an example.展开更多
针对国内外研究热点和难点——装备可靠性、维修性、保障性(reliability,maintainability and sup-portability,RMS)一体化设计,提出其中的瓶颈是RMS之间的强耦合机制及其设计知识流动控制问题。为此,分析、论证并提出了一种装备RMS一...针对国内外研究热点和难点——装备可靠性、维修性、保障性(reliability,maintainability and sup-portability,RMS)一体化设计,提出其中的瓶颈是RMS之间的强耦合机制及其设计知识流动控制问题。为此,分析、论证并提出了一种装备RMS一体化设计的创新研究方案:首先采用具有严格数学基础的图论方法———分层加权有向图进行RMS建模,以系统、科学、客观地刻画RMS强耦合关系;引入图书情报、管理工程中的知识流理论以实现RMS耦合设计知识的流动控制;采用模糊粗糙集理论以解决RMS不确定知识问题。可为装备RMS一体化设计理论的发展提供一种创新的、可行的参考思路。展开更多
文摘Reliability, maintainability and testability （RMT） are important properties of equipment, since they have important influ- ence on operational availability and life cycle costs （LCC）. There- fore, weighting and optimizing the three properties are of great significance. A new approach for optimization of RMT parameters is proposed. First of all, the model for the equipment operation pro- cess is established based on the generalized stochastic Petri nets （GSPN） theory. Then, by solving the GSPN model, the quantitative relationship between operational availability and RMT parameters is obtained. Afterwards, taking history data of similar equipment and operation process into consideration, a cost model of design, manufacture and maintenance is developed. Based on operational availability, the cost model and parameters ranges, an optimization model of RMT parameters is built. Finally, the effectiveness and practicability of this approach are validated through an example.
基金supported by the National Defense Pre-research Funds(9140A27010215JB34422)
文摘During maintainability demonstration,the maintenance time for complex systems consisting of mixed technologies generally conforms to a mixture distribution.However existing maintainability standards and guidance do not explain explicitly how to deal with this situation.This paper develops a comprehensive maintainability demonstration method for complex systems with a mixed maintenance time distribution.First of all,a K-means algorithm and an expectation-maximization(EM)algorithm are used to partition the maintenance time data for all possible clusters.The Bayesian information criterion(BIC)is then used to choose the optimal model.After this,the clustering results for equipment are obtained according to their degree of membership.The degree of similarity for the maintainability of different kinds of equipment is then determined using the projection method.By using a Bootstrap method,the prior distribution is obtained from the maintenance time data for the most similar equipment.Then,a test method based on Bayesian theory is outlined for the maintainability demonstration.Finally,the viability of the proposed approach is illustrated by means of an example.
文摘针对国内外研究热点和难点——装备可靠性、维修性、保障性(reliability,maintainability and sup-portability,RMS)一体化设计,提出其中的瓶颈是RMS之间的强耦合机制及其设计知识流动控制问题。为此,分析、论证并提出了一种装备RMS一体化设计的创新研究方案:首先采用具有严格数学基础的图论方法———分层加权有向图进行RMS建模,以系统、科学、客观地刻画RMS强耦合关系;引入图书情报、管理工程中的知识流理论以实现RMS耦合设计知识的流动控制;采用模糊粗糙集理论以解决RMS不确定知识问题。可为装备RMS一体化设计理论的发展提供一种创新的、可行的参考思路。
