FastICA Arithmetic Applied in Separation of Machine Vibration Signals
Kang Zhao-hui · Journal of Xi'an Technological University · 2008
In mornitoring the condition of machine vibration, the observation signals always include signals from other machines and noise signals.Therefore,it is essential to separate the individual signals of each machine.In this paper,the blind source separation based on independent component analysis is performed by means of FastICA algorithms,with which the vibration signals will be separated.The simulation experimentation shows the efficiency and the feasibility of the algorithm application to processing the machine vibration signals.