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为了保证港口机械的正常运行,延长其使用寿命,需对减轻机械磨损的润滑介质进行定期检测,并根据分析结果所积累的数据,预测其未来的劣化趋势.传统的预测方法一般采用回归分析进行预测计算,但这种方法有两个缺点:一是对分析样本的数量要求较大;二是对分析样本的分布要求较高,即要求分析样本呈线性分布,或呈指数分布,或呈对数分布.对港机来讲,由于在润滑介质的寿命周期内积累的分析数据有限,因此用回归分析难以进行.灰色理论为润滑介质性能劣化趋势的分析提供了新途径.
In order to ensure the normal operation of the port machinery and prolong its service life, periodic inspection of the lubricating medium for reducing mechanical wear is required, and the future deterioration trend of the lubricating medium is predicted based on the accumulated data of the analysis results. The traditional prediction methods are generally performed by regression analysis There are two disadvantages of this method: one is the large number of samples to be analyzed; the other is the high requirement on the distribution of the samples to be analyzed; that is, the samples to be analyzed are in a linear or exponential distribution or in pairs For port machines, regression analysis is difficult because of the limited analytical data accumulated over the life of the lubricating medium.Grey theory provides a new approach to the analysis of the tendency of lubricant degradation.