DETECTION METHOD FOR NONLINEAR AND NON-STATIONARY SIGNALS
Liu Wei-lai · Zhendong yu chongji · 2007
To take into account non-linear behavior of non-stationary signals, which may characterize working status of machine systems, the utility of permutation entropy for machine condition monitoring and health diagnosis is investigated. As a statistical measure, the permutation entropy describes complexity of the time series through phase space reconstruction , thus can be serve as a parameter to detect change of machine condition. The effect of embedded dimension and time delay on permutation entropy is studied. Experimental results on bearing vibration analysis confirm that the permutation entropy provides an effective measure for monitoring the working status of machine systems.