Feature extraction of turbine abnormal vibration condition based on ICA

摘要

Independent component analysis of a single measured mixing signal, that is single channel Independent component analysis (SCICA), has been widely used in feature extraction of a signal. In this paper we provide a example of using single channel ICA for extracting the feature of a abnormal running condition of a turbine from measured vibration signals, in order to show the effect of SCICA. The bearing vibration signals of the turbine are measured under two different running conditions. We choose one bearing vibration signal with clear abnormal information to test. The results show that the basic functions of SCICA have different characters for different turbine running condition and can be used as features. The results need further analyze to distinguish the different states.