首页> 外文会议>International topical meeting on probabilistic safety assessment and analysis >MODELING COMMON CAUSE FAILURES OF THRUSTERS ON THE INTERNATIONAL SPACE STATION (ISS) VISITING VEHICLES
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MODELING COMMON CAUSE FAILURES OF THRUSTERS ON THE INTERNATIONAL SPACE STATION (ISS) VISITING VEHICLES

机译:在国际空间站(ISS)上访问车辆时对推力器常见故障进行建模

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This paper discusses the methodology used to model common cause failures of thrusters on the International Space Station (ISS) Visiting Vehicles. The ISS Visiting Vehicles each have as many as 32 thrusters, whose redundancy and similar design make them susceptible to common cause failures. The Global Alpha Model (as described in NUREG/CR-5485) can be used to represent the system common cause contribution, but NUREG/CR-5496 supplies global alpha parameters for groups only up to size six. Because of the large number of redundant thrusters on each vehicle, regression is used to determine parameter values for groups of size larger than six. An additional challenge is that Visiting Vehicle thruster failures must occur in specific combinations in order to fail the propulsion system; not all failure groups of a certain size are critical. Note that the example illustrated in this paper is not specific to an existing propulsion system and is intended to explain general methodology without disclosing vehicle-specific details. An earlier version of this paper was published June 22, 2014 by Probabilistic Safety Assessment and Management Conference (PSAM) 2014 (Ref. 1).
机译:本文讨论了用于建模国际空间站(ISS)来访飞行器中推进器常见原因故障的方法。 ISS探视飞行器每辆均具有多达32个推进器,其推进器和类似设计使其易于遭受常见原因故障的影响。全局Alpha模型(如NUREG / CR-5485中所述)可用于表示系统的共同原因,但NUREG / CR-5496仅提供最大为6的组的全局Alpha参数。由于每辆车上都有大量备用推力器,因此使用回归分析来确定尺寸大于六个的组的参数值。另一个挑战是,来访车辆的推进器故障必须以特定的组合发生,以使推进系统失效。并非一定大小的所有故障组都是至关重要的。请注意,本文中举例说明的示例并非特定于现有的推进系统,而是旨在解释通用方法而不公开特定于车辆的细节。本文的较早版本于2014年6月22日由2014年概率安全评估与管理大会(PSAM)发布(参考资料1)。

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