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A Systems Approach for Analyzing Uncertainties in Misalignment of a Fiberoptic System

机译:分析光纤系统未对准不确定性的系统方法

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Performance of a fiberoptic system depends on the coupling efficiency and the alignment retention capability. A fiberoptic system experiences performance degradation due to uncertainties in the alignment of the optical fibers with the laser beam. The laser devices are temperature sensitive, generate large heat fluxes, are prone to mechanical stresses induced and require stringent alignment tolerance due to their spot sizes. The performance of an optoelectronic system is also affected by many other factors such as geometric tolerances, uncertainties in the properties of the materials, optical parameters such as numerical aperture, etc. To analyze such a complex system, we need to understand the inter-relationships between various elements that together make the complex system. In this paper, we apply systematic, formal procedures for identifying the relationships between the critical system level parameters through system decomposition strategies. We have included the sensitivity of the variables with respect to the functions to assist in the system decomposition. We apply graph partitioning strategies to decompose the system into different subsystems. We also demonstrate system decomposition technique using a simple to implement simulated annealing algorithm. The results of system decomposition using graph partitioning technique and simulated annealing are also compared.
机译:光纤系统的性能取决于耦合效率和对准保持能力。由于光纤与激光束对准的不确定性,光纤系统的性能会下降。激光设备对温度敏感,会产生大的热通量,易于产生机械应力,并且由于其光斑尺寸而需要严格的对准公差。光电系统的性能还受到许多其他因素的影响,例如几何公差,材料特性的不确定性,光学参数(例如数值孔径)等。要分析这样一个复杂的系统,我们需要了解相互之间的关系组成复杂系统的各种元素之间。在本文中,我们应用系统的正式程序通过系统分解策略来识别关键系统级参数之间的关系。我们已将变量相对于功能的敏感性纳入考虑范围,以协助系统分解。我们应用图分区策略将系统分解为不同的子系统。我们还演示了使用简单实现模拟退火算法的系统分解技术。还比较了使用图划分技术和模拟退火进行系统分解的结果。

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