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System reliability analysis: the advantages of using analytical methods to analyze non-repairable systems

机译:系统可靠性分析:使用分析方法分析不可修复系统的优势

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Most of the system analysis software available on the market today employs the use of simulation methods for estimating the reliability of nonrepairable systems. Even though simulation methods are easy to apply and offer great versatility in modeling and analyzing complex systems, there are some limitations to their effectiveness. For example, if the number of simulations performed is not large enough, these methods can be error prone. In addition, performing a large number of simulations can be extremely time-consuming and simulation offers a small range of calculation results when compared to analytical methods. Analytical methods have been avoided due to their complexity in favor of the simplicity of using simulation. A software tool has been developed that calculates the exact analytical solution for the reliability of a system. Given the reliability equation for the system, further analyses on the system can be performed, such as computing exact values of the reliability, failure rate, at specific points in time, as well as computing the system MTTF (mean time to failure), and reliability importance measures for the components of the system. In addition, optimization and reliability allocation techniques can be utilized to aid engineers in their design improvement efforts. Finally, the time-consuming calculations and the non-repeatability issue of the simulation methodology are eliminated.
机译:当今市场上大多数可用的系统分析软件都使用模拟方法来估计不可修复系统的可靠性。尽管仿真方法易于应用并且在复杂系统的建模和分析中提供了极大的通用性,但其有效性仍然存在一些局限性。例如,如果执行的仿真次数不够大,则这些方法可能容易出错。此外,与分析方法相比,执行大量仿真可能非常耗时,并且仿真提供的计算结果范围很小。由于避免了分析方法的复杂性,从而简化了仿真的使用,因此避免了分析方法。已经开发了一种软件工具,可以计算出用于系统可靠性的精确分析解决方案。给定系统的可靠性方程式,可以对系统进行进一步的分析,例如,在特定的时间点计算可靠性,故障率的精确值,以及计算系统的MTTF(平均故障时间),以及系统组件的可靠性重要性度量。此外,可以利用优化和可靠性分配技术来帮助工程师进行设计改进。最后,消除了费时的计算和仿真方法的不可重复性问题。

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