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Some observations on the subset simulation related to the wind turbine mechanics

机译:关于风力涡轮机力学的子集模拟的一些观察

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The subset simulation method is considered to be one of the most powerful methods among the variance reduction Monte Carlo techniques. Potential shortcomings of the method are the bias in its estimations and potential challenges in finding important directions in high dimensional nonlinear problems. The important directions in the n-dimensional space of the problem are those toward which the failure region extends i.e. by moving in those directions the simulation will fall into the safe domain. It is clear that finding these important directions becomes increasingly difficult as the number of the basic random variables of the problem increases. Moreover when the failure domain of the problem is not a simply connected domain, e.g. failure islands, finding the correct direction, or island, becomes even more difficult. This case occurs frequently in time variant dynamic reliability analysis of nonlinear systems. It is interesting to determine applicability of the Subset Simulation (SS) techniques, as a powerful representative of Variance Reduction Monte Carlo (VRMC) methods, on the wind turbine systems specifically with an active controller. Hence in this paper we apply and discuss these methods on a benchmark wind turbine model and analyze the results in view of their applicability.
机译:子集仿真方法被认为是方差减少蒙特卡罗技术中最强大的方法之一。该方法的潜在缺点是其估计的偏差和在高维非线性问题中找到重要方向的潜在挑战。问题的n维空间中的重要方向是故障区域延伸的那些,即通过在这些方向上移动,模拟将落入安全域中。显然,当问题的基本随机变量的数量增加,找到这些重要方向变得越来越困难。此外,当问题的故障域不是简单的域时,例如,当失败群岛,找到正确的方向或岛屿,变得更加困难。这种情况经常发生在非线性系统的时变动态可靠性分析中。确定子集模拟(SS)技术的适用性是有趣的,作为方差减少蒙特卡罗(VRMC)方法的强大代表,具体地具有有源控制器的风力涡轮机系统。因此,在本文中,我们在基准风力涡轮机模型上申请和讨论这些方法,并鉴于其适用性来分析结果。

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