Acoustic Emission Monitoring of Mechanical Seals Using MUSIC Algorithm based on Higher Order Statistics

摘要：

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.

关键词： Acoustic emission Mechanical seals Higher Order Statistics MUSIC Algorithm

作者: Yibo Fan Fengshou Gu Andrew Ball

作者单位: School of Computing and Engineering,The University of Huddersfield,Queensgate,Huddersfield,HD1 3DH,UK

会议类型: 国际会议

会议名称: 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)

会议地点: 北京

会议语种:英文

页码: 811-816

在线出版日期: 2009-08-03（万方平台首次上网日期，不代表论文的发表时间）