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首页> 外文期刊>日本マリンエンジニアリング学会誌 >Reasoning algorithm of crankshaft and propulsion shaft static alignment under any vessel condition
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Reasoning algorithm of crankshaft and propulsion shaft static alignment under any vessel condition

机译：任何血管条件下曲轴推理算法及推进轴静态对准

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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：在任何血管条件下，我们提出了一种新的曲轴和推进轴静态对准的新推理方法。有两种测量方法进行对齐。一个被称为曲轴偏转方法。另一个是轴承载方法。这些方法不会直接导致轴对准。有必要通过反向解决方案来解决每个轴承的高度。首先，简单地建模N-缸发动机和推进轴的曲轴，以便计算曲轴偏转和轴承载荷。通过使用传输矩阵法解决该模型。其次，为了解决逆问题，讨价还价的博弈论。在游戏中，每个轴承高度被定义为播放器。与测量结果相比，实用程序函数定义为错误功能。游戏的解决方案是基于纳什议价解决方案的效用值的乘法的最大值。遗传算法用于计算解决方案。作为结果，要应用一些实际的船只数据，新开发的方法是有效的，原因轴承高度。

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