Multiple random fault sources adaptive blind separation in situation of time-varying source signals and system
- Resource Type
- Authors
- Baokun Yang; Zhang Yiwen; Wang Jianying; Yanxia Hu; Yewang Chen; Wei Zhan; Wang Cheng
- Source
- Vibroengineering PROCEDIA. 14:82-86
- Subject
- 010302 applied physics
Recursive least squares filter
business.industry
Computer science
Materials Science (miscellaneous)
020208 electrical & electronic engineering
Separation (aeronautics)
Pattern recognition
Mixed-signal integrated circuit
02 engineering and technology
Fault (power engineering)
01 natural sciences
Blind signal separation
Industrial and Manufacturing Engineering
Mechanical system
Identification (information)
0103 physical sciences
Vibration measurement
0202 electrical engineering, electronic engineering, information engineering
Artificial intelligence
Business and International Management
business
- Language
- ISSN
- 2538-8479
2345-0533
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.