Leakage prediction approach and influencing factor analysis from seal test

Abstract

Purpose

Leakage serves as a core indicator of sealing performance degradation, particularly under high-speed and heavy-duty operational where increased leakage is common. Within heavy-duty vehicle transmissions, the leakage can lead to excessive pressure loss and eventual transmission failure. This study aims to introduce a predictive method for assessing sealing ring leakage in vehicle transmissions based on operating conditions.

Design/methodology/approach

Seal test was carried out using a specialized seal test rig. Various data points were collected during this test, including leakage, friction torque, oil temperature, oil pressure and rotating speed. The collected data underwent noise separation and reconstruction using the complete ensemble empirical mode decomposition with adaptive noise method. Subsequently, a leakage prediction model is developed using the random forest regression with parameter optimization. A quantitative evaluation for influencing factors in leakage prediction process is investigated.

Findings

The results achieve a mean accuracy index exceeding 95%, demonstrating close alignment between predicted and actual leakage values. Feature contribution results highlight that the trends of the oil temperature, friction torque and oil pressure significantly affect the leakage prediction, with the oil temperature trend exerting the most substantial influence.

Originality/value

This work sheds light on the interplay between operating conditions and sealing performance degradation, offering valuable insights for understanding and addressing sealing issues effectively.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2024-0271/

Citation

Gong, R., Li, J., Xu, J., Zhang, H. and Che, H. (2025), "Leakage prediction approach and influencing factor analysis from seal test", Industrial Lubrication and Tribology, Vol. 77 No. 1, pp. 147-156. https://doi.org/10.1108/ILT-07-2024-0271