Acoustic Emission Monitoring of Mechanical Seals Using MUSIC Algorithm based on Higher Order Statistics
This paper presents the use of the MUSIC algorithm improved by higher order statistics (HOS) to extract key features from the noisy acoustic emission (AE) signals.The low signal-to-noise ratio of AE signals has been identified as a main barrier to the successful condition monitoring of pump mechanical seals.Since HOS methods can effectively eliminate Gaussian noise,it is possible in theory to identify a change in seal conditions from AE measurements even with low signal-to-noise ratios.Tests conducted on a test rig show that the developed algorithm can successfully detect the AE signal generated from the friction of seal faces under noisy conditions.
Acoustic emission Mechanical seals Higher Order Statistics MUSIC Algorithm
Yibo Fan Fengshou Gu Andrew Ball
School of Computing and Engineering,The University of Huddersfield,Queensgate,Huddersfield,HD1 3DH,UK
国际会议
The 8th International Conference on Damage Assessment of Structures(DAMAS 2009)(第八届结构损伤评价国际学术会议)
北京
英文
811-816
2009-08-03(万方平台首次上网日期,不代表论文的发表时间)