Research status and development trend of condition monitoring on main⁃shaft bearings used in aircraft engines

Peng LIU; Liqin WANG; Chuanwei ZHANG; Dezhi ZHENG

doi:10.13224/j.cnki.jasp.20210083

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Research status and development trend of condition monitoring on main⁃shaft bearings used in aircraft engines

Power Transimission | 更新时间：2025-04-07

- Research status and development trend of condition monitoring on main⁃shaft bearings used in aircraft engines
- Journal of Aerospace Power Vol. 37, Issue 2, Pages: 330-343(2022)
- 作者机构：
  
  1.哈尔滨工业大学航空航天轴承技术及装备工业和信息化部重点实验室，哈尔滨 150001
  2.哈尔滨工业大学机器人技术与系统国家重点实验室，哈尔滨 150001
- 作者简介：
- 基金信息：
- DOI：10.13224/j.cnki.jasp.20210083
  CLC：
- 稿件说明：
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Peng LIU, Liqin WANG, Chuanwei ZHANG, et al. Research status and development trend of condition monitoring on main⁃shaft bearings used in aircraft engines[J]. Journal of Aerospace Power, 2022, 37(2): 330-343.
DOI：

Peng LIU, Liqin WANG, Chuanwei ZHANG, et al. Research status and development trend of condition monitoring on main⁃shaft bearings used in aircraft engines[J]. Journal of Aerospace Power, 2022, 37(2): 330-343. DOI： 10.13224/j.cnki.jasp.20210083.

摘要

航空发动机主轴轴承承受着高温、高速、重载、贫油、断油等极端工况，其疲劳、磨损等失效问题严重影响发动机的可靠性。因此，对航空发动机主轴轴承的使用状态进行有效精确监测极为重要。对航空发动机主轴轴承工况特点、主要失效模式和失效机制进行了梳理；针对主轴轴承的状态监测方法和技术，总结并对比分析了现有主轴轴承振动、滑油状态、声音、声发射、温度等监测方法的优势与不足；讨论了基于多传感器信息融合的主轴轴承状态监测方法及技术特色。结果表明：主轴轴承的材料、结构特性等对传感器输出信号的影响，传感器结构的微型化、无线化，高效的多传感器信息融合与决策方法，以及物理模型与数字模型的数据交互将成为主轴轴承状态监测未来主要的研究方向。

Abstract

The main⁃shaft bearings in aircraft engines generally endure extreme operational conditions，i.e.，high temperature，high speed，heavy load，poor oil and oil cut⁃off.Fatigue and wear among other failures in the main⁃shaft bearings significantly influence the reliability of the aircraft engines.Thus，it is essential to monitor the operational status effectively and precisely.The operating condition characteristics，main failure modes and failure mechanisms of the main⁃shaft bearings were sorted out.Existing main⁃shaft bearing monitoring technologies were summarized and compared in terms of vibration，lubricating status，sound，acoustic emission，and temperature.The method and technical characteristics of main⁃shaft bearings condition monitoring based on multi⁃sensor information fusion were discussed.Result showed that，the influences of the material and structural characteristics on output signals，the micro and wireless sensors，efficient multi⁃sensor information fusion methods，and data interaction between the physical and the digital model would become the future research direction of main⁃shaft bearings.

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Keywords

references

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