Multiple random fault sources adaptive blind separation in situation of time-varying source signals and system

摘要：

　　In order to separate multiple random fault source signals adaptively only from mixed vibration measurement signals of mechanical system in the situation of time-varying source signals and mixture system, two adaptive blind identification and separation methods are proposed to solve this kind of problem.One is based on recursive least squares (RLS) algorithm and another is based on recursive EASI algorithm.The simulation results show that both of these methods can separate source signals from the mixed signal in the situation of time-varying source signals and mixture system very well.

关键词： blind source separation multiple random fault sources time-varying adaptive recursive least squares algorithm recursive EASI algorithm

作者: Cheng Wang Yanxia Hu Wei Zhan Jianying Wang Baokun Yang Yiwen Zhang Yewang Chen

作者单位: College of Computer Science and Technology, HuaQiao University, Xiamen, China;State Key Laboratory f College of Computer Science and Technology, HuaQiao University, Xiamen, China Beijing Aerospace Automatic Control Institute, Beijing, China

会议类型: 国际会议

会议名称: The 28th International Conference on Vibroengineering (第28届国际振动工程会议)

会议地点: 北京

会议语种:英文

页码: 82-86

在线出版日期: 2017-10-19（万方平台首次上网日期，不代表论文的发表时间）