Application of Acoustic Emission in Diagnostic of Bearing Faults within a Helicopter Gearbox
Author(s) -
Faris Elasha,
Matthew Greaves,
David Mba,
Abdulmajid Addali
Publication year - 2015
Publication title -
procedia cirp
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.683
H-Index - 65
ISSN - 2212-8271
DOI - 10.1016/j.procir.2015.08.042
Subject(s) - acoustic emission , bearing (navigation) , engineering , acoustics , fault (geology) , fault detection and isolation , signal (programming language) , condition monitoring , automotive engineering , computer science , geology , electrical engineering , artificial intelligence , seismology , physics , actuator , programming language
Acoustics Emissions (AE) technology has emerged as a promising diagnostic approach. AE was originally developed for non-destructive testing of static structures, however, in recent times its application has been extended to health monitoring of rotating machines. This paper introduces a novel method for application of AE in monitoring of helicopter gearboxes. In addition this paper investigates the application of signal separation techniques in detection of bearing faults within the epicyclic module of a large helicopter (CS-29) main gearbox using Acoustic Emissions (AE). The results showed successful of AE in detection bearing fault within the helicopter gearbox. Detection of the small bearing defect gives the AE an indisputable diagnosis advantage and prove ability of application of AE in helicopter gearboxes
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom