Frequency Analysis Methods In The Locomotive Bearing Fault Diagnosis Based On Emd

It is the extremely important question that raise unceasingly along with our country railway transportation system fast, guaranteed fully the locomotive safe operation, enhance the train security reliability. In which the electrical machinery bearing, the axle-box bearing, the host generator bearing and so on is the important condition to guarantees the train safe operation. Therefore, the bearing breakdown diagnosis always is a question which pays attention.Breakdown characteristic withdrawing relates the reliability and the accuracy, further more, it is the key question is in the mechanical device breakdown diagnosis. Moreover, It is the bottleneck in the mechanical device breakdown diagnosis. First the paper introduced the locomotive bearing breakdown diagnosis significance, then briefly introduced the current research situation, introduced the selected topic significance, as well as introduced the content topic origin and so on. In view of the bearing breakdown signal non-linearity, the non-stability, the paper uses based on EMD (experience model decomposition) the time frequency analysis method withdraws the bearing breakdown characteristic, decomposes the signal each IMF (the Intrinsic modular function) to reflect the signal the dynamic characteristic, finally realizes withdraws the breakdown characteristic the goal. The paper in detail elaborated based on the EMD time frequency analysis method basic concept and the basic principle, systematically introduced the HHT method elementary theory and the algorithm, and further has made the improvement to the HHT method, uses Fourier transform solves Hilbert transform, greatly reduced the computation intensity. The paper proposed based on the EMD time frequency analysis method improvement algorithm, has solved the computation precision not higher problem, and to had the non- steady characteristic structure signal and the laboratory bench gathering signal has done the massive simulations research, fully has proven this method validity and rationality.