目前我国不少远洋船舶使用的动力系统，基本以电控柴油机为主，电控柴油机以其性能稳定、操作方便、精确控制等优势成为了当今船用领域研究热点之一，并在全球范围内的船舶上得到了普及。但是由于其起步较晚，电控柴油机还存在着许多问题亟待解决，比如如何预测其动力系统的可靠性，降低电控柴油机常见故障发生几率，如何有效降低各种事故。是本文的研究目。本文以某远洋船舶为例，基于小波神经网络(WNN)对其船用动力系统可靠性进行预测与分析，旨在协助操作人员更好地维护和保养船舶装置，提升船舶的使用寿命。
At present, the power systems used by many ocean-going ships in my country are basically imported electronically controlled diesel engines. Electronically controlled diesel engines have become one of the research hotspots in the marine field today due to their stable performance, convenient operation, and precise control. Inner ships gained popularity. However, due to its late start, there are still many problems to be solved urgently for electronically controlled diesel engines, such as how to predict the reliability of its power system, reduce the probability of common faults of electronically controlled diesel engines, and how to effectively reduce various accidents will be the research purpose of this paper . Taking an ocean-going ship as an example, this paper predicts and analyzes the reliability of its marine power system based on wavelet neural network (WNN), aiming to assist operators to better maintain and maintain ship devices, improve the service life of ships.
2023,45(17): 93-96 收稿日期：2023-05-16
DOI：10.3404/j.issn.1672-7649.2023.17.019
分类号：U667.65
作者简介：郭魏源(1990-),男,硕士,讲师,研究方向为系统可靠性分析
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