AE Sound Source Localization Using Nearfield MUSIC Algorithm Based on Fourth-Order Cumulants
- Resource Type
- Article
Text
- Authors
- Jing Li; Yong Yang; Xinghua Li; Li Zhao
- Source
- International Journal of Signal Processing, Image Processing and Pattern Recognition, 11/30/2016, Vol. 9, Issue 11, p. 261-270
- Subject
- Rubbing Fault
Acoustic Emission
Near Field
Multiple Signal Classification
- Language
- English
- ISSN
- 2005-4254
Acoustic Emission (AE) source localization is a useful implement to diagnose the incipient faults in rotating machine. This paper proposes an improved Near-field Multiple Signal Classification method using four-order cumulants (NFC-MUSIC) to accurately locate the faults position. In order to overcome dispersion effect and revised velocity, the feature sub narrow band is extracted by Wavelet Packet reconstitution (WPR) and Modal Plate Wave Theory (MPWT). For multi-source decorrelation and increasing localized resolution, the four-order cumulants of observed signal can be selected for localization. The experiment results indicate that the improved method can accurately locate multi-rubbing faults. It is an efficient way to assist incipient rubbing faults diagnosis.