国际设备工程与管理（英文版）2001，Vol.6Issue(1)：41-46,6.
The Research of Blind Source Separation (BSS)in Machinery Fault Diagnosis
The Research of Blind Source Separation (BSS)in Machinery Fault Diagnosis
1
作者信息
- 1. State Key Laboratory of Vibration, Shock & Noise, Shanghai Jiaotong University,Shanghai 200030,P. R. China;State Key Laboratory of Vibration, Shock & Noise, Shanghai Jiaotong University,Shanghai 200030,P. R. China;State Key Laboratory of Vibration, Shock & Noise, Shanghai Jiaotong University,Shanghai 200030,P. R. China
- 折叠
摘要
Abstract
Blind source separation (BSS) technology is very use ful in many fields, such as communication, radar and so on. Because of the advantage of BSS that it can separate multi-sources even not knowing the mix-coefficient and the probability distribution, it can also be used in fault diagnosis. In this paper, we first use the BSS to deal with the sound from the machinery in fault diagnosis. We make a simulation of two sound sources and four sensors to test the result. Each source is a narrow-band source, which is composed of several sine waves.The result shows that the two sources can be well separated from the mixed signals. So we can draw a conclusion that BSS can inprove the technology of sound fault diagnosis, especially in rotating machinery.``关键词
fault diagnosis/blind source separation (BSS)Key words
fault diagnosis/blind source separation (BSS)分类
通用工业技术引用本文复制引用
..The Research of Blind Source Separation (BSS)in Machinery Fault Diagnosis [J].国际设备工程与管理（英文版）,2001,6(1):41-46,6.
