A New Spectrum Distance Function to Monitor Machine Condition

摘要：

This paper proposes a new distance functionpower spectral density divergence to monitor machine condition .The distance function carries full information of time series model ARMA (m, n). The calculating example shows that it is more sensitive than I-divergence, J-divergence, and Bhattcharyya information distance to the changes of machine conditions.

关键词： power spectral density divergence monitor machine condition distance time series

作者: Jianming SUN

作者单位: College of Economics and Administration China Jiliang University Hangzhou City, Zhejiang Province, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 316-318

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）