船用燃气轮机大修周期性能退化建模方法。

Junqi Luan, Yunpeng Cao, Ran Ao, Xiaoyu Han, Shuying Li
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引用次数: 0

摘要

针对故障诊断和趋势预测算法验证数据集不足的问题,提出了大修周期船用燃气轮机退化建模方法。首先,建立了船用三轴燃气轮机气路的非线性模型。随后获得了退化路径和部件退化模型。利用优化算法求解了大修周期中洗涤周期和降解因子的分布,并获得了洗涤周期中的降解数据。通过一段实际退化数据验证了模型的可行性。同时还获得了燃气轮机在大修周期内运行数据的变化规律。利用建立的降解模型模拟了不同边界条件下船用燃气轮机的降解数据。该模型为验证故障诊断和趋势预测算法提供了重要的数据集。此外,它还为其他机械设备的退化建模提供了参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An overhaul cycle performance degradation modeling method for marine gas turbines.

A degradation modeling method of marine gas turbines for the overhaul cycle is proposed to address the problem of insufficient data sets for fault diagnosis and trend prediction algorithm validation. First, a nonlinear model of the marine three-shaft gas turbine gas path was established. The degradation path and component degradation models were subsequently obtained. The distribution of the washing cycle and degradation factors in the overhaul cycle were solved using an optimization algorithm, and degradation data in the washing cycle were obtained. The model's feasibility is validated with a segment of actual degradation data. The change rule of the gas turbine operating data during the overhaul cycle was also obtained. The degradation data of marine gas turbines under different boundary conditions are simulated using the established degradation model. This model provides data sets essential for validating fault diagnosis and trend prediction algorithms. Furthermore, it provides a reference for modeling the degradation of other mechanical equipment.

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