In this paper

a new method of diagnosing electric machine fault

which based on gauss chirplet transforms

is presented. Chirplet transforms （CTs） are variation of the time

the frequency

and the scale of the signal. CTs have more effective than wavelet transforms in time-frequency analyzing of non-stable signals. Energy spectrums of electric machine fault signal can be gauged by using Gauss CTs

so the frequencies of the signal can be extracted. Experiment results show this method is more concentrated in energy than fourier transform and wavelet transform.