Enhancing acoustic emission signals from multi-cylinder diesel engine


Autoria(s): Wu, Weiliang; Tan, Andy; Kim, Eric
Data(s)

2010

Resumo

This paper presents techniques which can be viewed as pre-processing step towards diagnosis of faults in a small size multi-cylinder diesel engine. Preliminary analysis of the acoustic emission (AE) signals is outlined, including time-frequency analysis, selection of optimum frequency band. Some results of applying mean field independent component analysis (MFICA) to separate the AE root mean square (RMS) signals are also outlined. The results on separation of RMS signals show this technique has the potential of increasing the probability to successfully identify the AE events associated with the various mechanical events.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/38872/

Relação

http://eprints.qut.edu.au/38872/1/FINAL_1220.pdf

http://www.acam6.org

Wu, Weiliang, Tan, Andy, & Kim, Eric (2010) Enhancing acoustic emission signals from multi-cylinder diesel engine. In 6th Australasian Congress on Applied Mechanics (ACAM 6), 12-15 December 2010, Perth, Western Australia.

Direitos

Copyright 2010 Please consult the authors.

Fonte

Faculty of Built Environment and Engineering; School of Engineering Systems

Palavras-Chave #091300 MECHANICAL ENGINEERING #fault diagnosis, #acoustic emission #mean field independent component analysis #RMS
Tipo

Conference Paper