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Dynamic reliability via computational solution of generalized state-transition equations for entry-time processes

机译:通过输入时过程的广义状态转移方程的计算解来实现动态可靠性

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Entry-time processes are finite-state continuous-time jump processes with transition rates depending only on the two states involved, the calendar time, and the most recent arrival time (entry time). Entry-time processes are transformed into Markov processes via the standard technique of incorporating entry time into the state variables. It is shown that the associated state-transition (Chapman-Kolmogorov) equations can be written as a coupled pair of integrodifferential equations. A finite-difference approximation to these equations is developed. This computational approach is verified, and some of its properties delineated, via two hypothetical examples. One of these examples admits a semi-analytic solution, while simulations provide the base of comparison for the other.
机译:进入时间过程是有限状态连续时间跳跃过程,其过渡速率仅取决于所涉及的两个状态,日历时间和最近的到达时间(进入时间)。通过将输入时间合并到状态变量中的标准技术,将输入时间过程转换为马尔可夫过程。结果表明,相关的状态转移(Chapman-Kolmogorov)方程可以写成一对耦合的积分微分方程。建立了这些方程的有限差分近似。通过两个假设示例验证了此计算方法,并描述了其某些属性。这些示例中的一个允许使用半解析解,而仿真则为另一个提供了比较基础。

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