Application of Instantaneous Power Decomposition via Wavelet Packet and RS-RBF in Induction Motor Fault Diagnosis
Xing Zhang · Large Electric Machine and Hydraulic Turbine · 2012
To solve the problems in obtaining bearing fault characteristics of induction motors,a method based on instantaneous power decomposition via wavelet packet is processed.By analyzing the induction motors and decomposing the signal by wavelet packet after it is filtered,the root mean square of node coefficients and its change rate used as the symptom of bearing fault was calculated.Using fault data as value attributes to build the decision table.And use of rough sets of theoretical calculation of the reduction decision.On this basis,the RBF net work can be used to make fault diagnosis.The result shows that the actual diagnosis can effectively improve the faults diagnosis accuracy.