Journal Published Online: 22 July 2008
Volume 36, Issue 6

Testing and evaluation of water hydraulic components by acoustic emission and wavelet analysis



In condition monitoring and fault diagnosis of machinery, vibration analysis is the major method and wavelet analysis is widely implemented. The acoustic emission (AE) method is another important and effective signal in fault diagnosis of mechanical systems. In this paper, the AE signal is applied to diagnose the piston condition of the water hydraulic motor in a water hydraulic system. The AE signal is obtained under different flow rates and torques. The wavelet-based signal processing technique is used to analyze the fluid-borne vibration and structure-borne vibration (acoustic signal). The spectrum based on wavelet analysis is effective in analyzing the acoustic signals under specific frequency ranges, compared with the conventional power spectrum density (PSD). The results show root mean square (RMS) of the wavelet-based acoustic signal analysis is very effective for the fault diagnosis of piston cracks under the different flow rates and torques.

Author Information

Chen, H.
School of Mechanical and Electrical Engineering, P.R. China
Chua, Patrick
Nanyang Technological University, Singapore
Lim, G.
Nanyang Technological University, Singapore
Pages: 6
Price: $25.00
Reprints and Permissions
Reprints and copyright permissions can be requested through the
Copyright Clearance Center
Stock #: JTE101207
ISSN: 0090-3973
DOI: 10.1520/JTE101207