Pressure-Only Diagnosis of External Gear Pumps via Ground-Test Modality Augmentation and Physics-Guided Feature Enhancement

Li, Xiaochuan and Wang, Jinyang and Xu, Juan and Ding, Xu and Liang, Pengfei and Mba, David and Li, Chuan (2026) Pressure-Only Diagnosis of External Gear Pumps via Ground-Test Modality Augmentation and Physics-Guided Feature Enhancement. Expert Systems With Applications. p. 131847. ISSN 0957-4174

Text Pressure-Only Diagnosis of External Gear Pumps.pdf - Accepted Version Restricted to Repository staff only until 26 February 2028. Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (9MB)

Abstract

In aviation and industrial applications, onboard fault diagnosis of external gear pumps is often restricted to pressure pulsation signals due to hardware limitations, which may restrict fault detection capacity, whereas laboratory ground tests can collect multimodal data for enhanced analysis. To address this gap, we propose a two-level enhancement framework. At the data-driven level, vibration and pressure signals from ground tests are fused to learn shared latent representations, enabling complementary diagnostic cues. At the physics-guided level, fluid dynamics–based modeling extracts interpretable fault features from pressure signals, embedding domain-specific priors. This dual enhancement distills both data-driven and physics-based knowledge into the pressure modality, allowing the model to achieve high diagnostic accuracy under single-modality conditions. Experiments on an external gear pump confirm that vibration features strengthen sensitivity to structural faults, while physics guidance enhances interpretability by anchoring features to frequency and amplitude variations. The model was further deployed on a hardware platform to validate real-time performance. The code and demo video after model deployment are available at https://github.com/ts560/Net.

Item Type:	Article
Identification Number:	10.1016/j.eswa.2026.131847
Dates:	Date Event 26 February 2026 Accepted 26 February 2026 Published Online
Uncontrolled Keywords:	Diagnosis, gear pump, physics-inspired network, feature enhancement, interpretability.
Subjects:	CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-01 - engineering (non-specific)
Divisions:	Architecture, Built Environment, Computing and Engineering > Engineering
Depositing User:	Gemma Tonks
Date Deposited:	02 Mar 2026 12:41
Last Modified:	02 Mar 2026 12:41
URI:	https://www.open-access.bcu.ac.uk/id/eprint/16894

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