车辆传动系统密封环性能衰退影响因素多尺度分析方法

doi:10.3901/JME.260574

摘要/Abstract

摘要： 车辆运行过程中常处于高速高负荷的工况，这容易导致传动系统中涨圈型密封环加速失效。由于密封接触状态及其动态损伤演变机制的复杂性，仅依靠物理模型获取失效机理存在困难。为此，采用摩擦信息学方法，对影响密封环性能衰退的工况因素进行定量分析。首先，通过密封环寿命试验采集并处理工况数据和密封性能数据。然后，采用自适应噪声完备集合经验模态分解算法和时序分析方法，对寿命数据进行多维工况特征的分解与重构，进一步结合相关性统计，在高频、低频与趋势项上开展了多尺度定量化分析，分别对应密封性能参数特征的短期变化波动、由物理状态改变引起的变化波动，以及长期的趋势，该方法符合涨圈型密封环实际运行过程中的变化规律。最后，采用随机森林回归算法验证了分析结果的正确性。分析表明，油温的趋势项对密封环泄漏的影响最大，特性贡献度达到0.43。所提出的结合相关性分析的多尺度分析方法具备自适应与可验证的优势，能够在避免构建复杂模型的前提下，有效捕捉密封环工况状态与失效的内在关系，适用于涨圈型密封环强耦合、非平稳的运行状态特性。

关键词: 密封环, 性能衰退, 影响因素, 多尺度分析, 相关性统计

Abstract: Under high-speed and high-load operating conditions during vehicle operation, expansion sealing rings in vehicle transmissions are prone to accelerated failure. Due to the complexity of sealing contact states and dynamic damage evolution mechanisms, conventional physical models face challenges in elucidating the underlying failure mechanisms. A tribe-informatic approach to quantitatively analyse the factors influencing performance degradation in sealing rings is proposed. First, operational condition data and sealing performance data were collected and processed through life cycle testing of the sealing rings. Second, utilizing the complete ensemble empirical mode decomposition with adaptive noise algorithm and time series analysis methods, the life cycle data of the sealing rings are decomposed and reconstructed into multi-dimensional operational features. A multi-scale quantitative analysis is conducted on high-frequency, low-frequency, and trend components using correlation statistics, corresponding to short-term fluctuations in sealing performance parameters, fluctuations caused by physical state changes, and long-term trends, respectively. This methodology aligns with the operational dynamics of expansion sealing rings under real-world conditions. Finally, the random forest regression algorithm was employed to validate the analytical results. The study demonstrated that the trend component of oil temperature exerts the most significant influence on seal leakage, with a feature contribution score of 0.43. The proposed multi-scale analysis framework, integrated with correlation analysis, offers self-adaptive and verifiable advantages, without constructing complex physical models. This approach effectively captures intrinsic relationships between sealing ring degradation and failure mechanisms, making it particularly suitable for analyzing the strongly coupled, non-stationary operational characteristics inherent to sealing systems.

Key words: sealing rings, performance degradation, influencing factor, multiscale analysis, correlation statistics

中图分类号:

TH117

宫燃, 胡溢华, 许晋, 李金晓, 张鹤. 车辆传动系统密封环性能衰退影响因素多尺度分析方法[J]. 机械工程学报, 2026, 62(15): 463-474.

GONG Ran, HU Yihua, XU Jin, LI Jinxiao, ZHANG He. Multiscale Analysis of Performance Degradation Factors for Sealing Rings in Vehicle Transmission[J]. Journal of Mechanical Engineering, 2026, 62(15): 463-474.

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链接本文: http://www.cjmenet.com.cn/CN/10.3901/JME.260574

http://www.cjmenet.com.cn/CN/Y2026/V62/I15/463

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