Review on Aero-engine Fault Diagnosis and Early Warning Technology Based on Blade Tip Monitoring

doi:10.3901/JME.260035

Abstract

Abstract: Blade vibration and tip clearance are critical parameters reflecting the operational status of aero-engines, containing abundant fault and health information. Real-time monitoring and deep analysis enable fault diagnosis and early warning of engines. This article reviews contact-based measurement methods for blade vibration as well as non-contact measurement techniques such as blade tip timing and tip clearance monitoring. It summarizes important research achievements in related technologies domestically and internationally in recent years, focusing on three main aspects: Types of blade vibration and typical faults, monitoring and identification methods, and fault diagnosis and warning methodes. In particular, the application of these techniques in typical faults such as flutter, surge, and rubbing is emphasized. Finally, the future development trends of aero-engine fault diagnosis and warning technology based on tip monitoring are prospected from five perspectives: high-precision high-speed acquisition, mechanism and evolution path analysis, multi-source fusion testing, fault database optimization, and machine learning-enabled intelligent diagnosis.

Key words: aero-engines, blade vibration, blade tip clearance, fault diagnosis, flutter prediction, surge warning, rubbing

CLC Number:

V232

WANG Weimin, LIU Yanzhen. Review on Aero-engine Fault Diagnosis and Early Warning Technology Based on Blade Tip Monitoring[J]. Journal of Mechanical Engineering, 2026, 62(2): 1-16.

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