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Reasoning algorithm of crankshaft and propulsion shaft static alignment under any vessel condition

机译:任何船舶工况下曲轴和推进轴静态对中的推理算法

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摘要

We propose a new reasoning method of crankshaft and propulsion shaft static alignment under any vessel condition. There are two measurement methods for alignment. One is called crankshaft deflection method. The other is bearing load method. Those methods do not lead directly to shaft alignment. It is necessary to solve the heights of each bearing by an inverse solution. Firstly, Crankshaft of n-cylinder engine and propulsion shaft is modeled simply in order to calculate the crankshaft deflections and the bearing loads. The model is solved by using transfer matrix method. Secondly to solve the inverse problem, the bargaining game theory is applied. In the game, each bearing height is defined as player. The utility function is defined as the error function as compared with the measured results. The solution of the game is the maximum of the multiplication of utility values based on Nash bargaining solution. Genetic algorithm is used to calculate the solution. As the results, to apply on some actual vessel data, newly developed method is effective to reason the bearing height.
机译:我们提出了一种在任何船舶条件下曲轴和推进轴静态对中的新推理方法。对齐有两种测量方法。一种称为曲轴偏转方法。另一种是轴承载荷法。这些方法不会直接导致轴对齐。有必要通过反解来求解每个轴承的高度。首先,对n缸发动机的曲轴和推进轴进行简单建模,以计算曲轴的挠度和轴承载荷。该模型采用传递矩阵法求解。其次,为了解决逆问题,应用了讨价还价博弈理论。在游戏中,每个方位高度都定义为玩家。效用函数定义为与测量结果相比的误差函数。游戏的解决方案是基于Nash讨价还价解决方案的效用值乘积最大化。遗传算法用于计算解。结果,为了在某些实际的船舶数据上应用,新开发的方法可以有效地推论轴承高度。

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