Fault Diagnosis Of Tamping Vehicle Operating Components Based On Ant Colony Initialization Multi-wavelet Network

Because of the hard working and the present attack,there’re so many challenges for the tamping machine.Operating normally has become the key point for the whole system’s working.The components’ structure is complicate,meanwhile,the elements of driving’s number is to many to diagnosis the faults.The key reasons and the principle for the faults’ form are hard to recognize.We could realize that it is crucial for the faults diagnosis to judge the tamping machine’s faults correctly.This essay introduced the wavelet and multi-wavelet’s theory and their mallat-function of their own.In order to introduce the theory behind,this essay recommended the initialization of the multi-wavelet-network with ant-colony-algorithm.With the experimental verification,this essay set forth the theory of fault diagnosis using multi-wavelet based on promoted self-adaption.With the simulation experiments and the analysis of results for the model of RMW initialization with ant-colony-algorithm,this essay shows the feasibility of this function.