Abstract
In this paper, the Haar transform is applied to vibration signal analysis and system condition monitoring. Based on the Haar transform, the "impulse index" is defined and used as the discriminant for the description of vibration signals. The impulse index offers information about the average power intensity compressed in each equivalent sequency group. It can be obtained conveniently and quickly by means of fast computational algorithm of the Haar transform. The computer simulation data of the output signals of nonlinear models with single degree-of-freedom are used to prove the effectiveness of the impulse index. The results are compared with those obtained from FFT power spectral density and are shown to be effective.
