Application of data mining in fault diagnoses For machinery
Yilun Han, Ming Yang Sun · 2010 Sixth International Conference on Natural Computation · 2010
Data mining can draw out much useful knowledge and information unknown beforehand from amounts of uncompleted, unstable, random data. The paper studies the application about the technology of data mining based on wavelet theory in fault diagnosis for machinery according to up-to-date outcome, and brings forward the data mining way based on wavelet theory, we do verification by experiment. The wavelet transform can draw out the feature of fault, the neural network based on wavelet can effectively carry out the classification of faults. The basis can be supplied for its application.