Early detection of mechanical failure in helicopter drive train components is a key safety and economical issue with both military and civil sectors of aviation. Of these components, couplings are particularly critical. The objective of this work is to demonstrate the feasibility of designing and developing a reliable, real time monitoring methodology based on Supervised Pattern Recognition (SPR) for early detection of cracks in diaphragm type couplings . used in helicopter and engine . drive systems. Within this framework, a portable Acoustic Emission (AE) system was used, equipped with a semi-real time SPR software package. Results from AE tests performed on a gearbox test bench at different speeds and . different torque values are presented. These results indicate that the energy content of different frequency bands in the AE signals power spectra is strongly correlated with the introduction of EDM notches in the main gear. Further tests indicate that a strong shift in the frequency of the AE signals is observed in a pinion gear. The variation occurred in a pinion gear variation of displacement and velocity between signal classes are discussed as a potential feature in characterizing crack severity. Finally, a scope of the work for optimizing the methodology in detecting and evaluating coupling cracking in real time will be presented.
Classification of acoustic emission signals for drive systems coupling crack detection in semi-real time
Klassifikation von Schallemissionsignalen beim Rissnachweis in Fastechtzeit an Antriebssystemen
CINDE Journal (Canada's National NDT Magazine) ; 25 , 5 ; 6-14
2004
8 Seiten, 4 Bilder, 3 Tabellen, 6 Quellen
Aufsatz (Zeitschrift)
Englisch
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