用于诊断燃气轮机 tribological 系统的相关方法
Maciej Deliś1, Sylwester Kłysz1,2, Radoslaw Przysowa1
1Air Force Institute of Technology (ITWL), ul. Ksiecia Boleslawa 6, 01-494 Warsaw, Poland.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
使用光学排放光谱和相关模型进行油脂分析,可以准确地检测轮螺旋发动机的加速磨损. 这种方法通过分析铁,和度来早期识别潜在的损伤,从而改善发动机健康评估.
科学领域:
- 部落学 (tribology) 是一个学科.
- 机械工程 机械工程
- 材料科学 材料科学 材料科学
背景情况:
- 采油采样是滑三元系统的长期诊断技术,特别是在燃气轮机主轴轴承中.
- 由于复杂的输电系统和各种测试方法的灵敏度,解释磨损碎片分析具有挑战性.
研究的目的:
- 开发和验证一种相关模型,用于分析M601T轮机发动机的油样.
- 根据和的含量,为铁度建立定制的警报极限.
- 通过将磨损碎片度与发动机状况相关联来评估发动机健康状况.
主要方法:
- 从M601T轮螺旋发动机的油样品使用光学辐射谱学进行了分析.
- 一个相关的模型被开发出来,结合了基于和度的铁的定制警报极限.
- 使用双向差异分析 (ANOVA) 与相互作用分析和后期测试来确定统计相关性.
主要成果:
- 在石油样本中的铁和度之间发现了强烈的正相关性.
- 在铁和度之间观察到较弱但具有统计学意义的正相关性.
- 该模型应用于特定的发动机,通过偏离既定铁极限,在临界损坏之前,确定了加速磨损.
结论:
- 由ANOVA支持的相关模型提供了一个统计验证的方法来评估轮发动机的发动机健康状况.
- 通过油脂分析,可以及早检测加速磨损,从而实现主动维护,防止灾难性故障.
- 这项研究证明了将光谱油分析与统计建模用于tribosystem诊断的有效性.
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