Classification of Acoustic Emission Signals for Drive Systems Coupling Crack Detection in Semi-Real Time

摘要

Based on the results discussed in this paper, it has been demonstrated that Acoustic Emission can be used for the detection of cracking in gearboxes, and we are currently expanding our methodology for monitoring in diaphragm-type couplings used in aircraft and engine drive systems. A Supervised Pattern Recognition Scheme based on the k-NNC Classifier using frequency domain Acoustic Emission signal features has been implemented. This classifier is capable of correctly identifying AE signals produced from a gearbox test bench under six different conditions. Semi-real time classification software routines were implemented in NOESIS? through the Live-Supervised Pattern (Live-SPR) toolbox. This toolbox allows the user to view and classify AE data from a dynamic process at programmable time intervals as they are recorded by an AE system. Physical Acoustics Corporation (PAC) is currently advancing the technology for application on diaphragm type couplings in aircraft.