@inbook{b7821ef920794bd4ab5e4e3cb0d3eefd,
title = "A comparative study of helicopter planetary bearing diagnosis with vibration and acoustic emission data",
abstract = "{\textcopyright} 2017 IEEE. Planetary bearings inside a helicopter main gearbox (MGB) are key components, successful diagnosis of planetary bearing defects benefits helicopter maintenance, reducing accidents rate and increasing aircraft flightworthiness. Most widely adopted methods for bearing fault diagnosis are envelope analysis and kurtogram; both have achieved many successes in practical application. However, diagnosis of faulty planetary bearing inside a MGB can be more complicated for reasons such as extremely strong operating noise, overwhelming gear meshes and so on. In this paper, acoustic emission (AE) data was recorded in comparison with traditional vibration data from test rig built using commercial helicopter gearbox with seeded defects, diagnosis of vibration data and AE data is performed using kurtogram and envelope analysis, results showed that AE signals are more sensitive to excitations from defects and suffer less from background noises.",
keywords = "acoustic emission signal, envelope analysis, helicopter main gearbox, kurtogram, planetary bearing diangosis",
author = "Linghao Zhou and Fang Duan and David Mba and Elasha Faris",
year = "2017",
month = jul,
day = "31",
doi = "10.1109/ICPHM.2017.7998336",
language = "English",
isbn = "9781509057108",
series = "2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "246--251",
booktitle = "2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017",
address = "United States",
note = "2017 IEEE International Conference on Prognostics and Health Management, ICPHM ; Conference date: 19-06-2017 Through 21-12-2017",
}