Fault Detection and Predictive Maintenance of the Aircraft Propeller System

Abstract

The article examines the significance and methodologies of predictive maintenance for aircraft propeller systems. The primary focus is on multisensor monitoring of key diagnostic parameters, including vibration, acoustic signals, torque, and temperature. Regular measurement and analysis of these parameters enable the early detection of malfunction indicators such as propeller imbalance, blade damage, shaft misalignment, and related anomalies. This proactive diagnostic approach enhances operational reliability, reduces unplanned maintenance, and supports the overall safety and efficiency of aircraft propulsion systems.