Year: 2026
Type: conference-paper
Abstract: Oil Condition Monitoring (OCM) is increasingly used for real-time gearbox health assessment, overcoming delays of traditional oil analysis. This study investigates inline OCM for detecting gear pitting and its challenges. An accelerated test using an FZG gear rig combined inline oil sensors with a camera system to track gear pitting. Results showed that wear debris sensors successfully detected three wear stages: run-in, steady-state, and accelerated wear, aligning with theory. Nonetheless, not all wear debris were detected by sensors, as some of these remained in the gearbox. This could potentially limit accurate quantification of total wear. Besides, oil properties like viscosity and density did not indicate wear in this test. The study concludes that inline OCM can detect wear trends but has limitations in precision and interpretation. Future work should focus on more severe wear conditions and further investigating the correlation between sensor data and wear.
Institution: Ghent University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7204617690