Proposal of Advanced Signal Processing Techniques for Condition Monitoring of Critical Aero Engine Components: Methodology and Benchmarking

In this paper authors designed, developed, and verified a measurement apparatus (vibration rig) for the simulation and subsequent condition monitoring of operational bearing defects as an analogy of critical and indispensable engine components. The time-domain and frequency-domain analysis is applied on collected vibration signals to identify the defects by comparing the reference and simulated conditions. In addition, the paper pinpoints and describe the main attributes of three current advanced signal processing methods with potential applications in specific areas of condition monitoring processes for critical aero engine parts such as bearings, shaft, blades, etc. The vibration rig as well as the data obtained from presented testing can serve as a benchmark for comparison with the results of the proposed methods applied to various components in future research to validate their effectiveness in the above applications.