Intellective diagnosis and manage system of bearing test machine
Qian Su-xiang · Machinery Design and Manufacture · 2000
A method using the time-frequency and multi-distinguishability characteristic of wavelet transform is porposed to extract fault characteristic processed signal by adjusting wavelet scale,which ensures informational completeness.In addition,a method is put forword which combines artificial neural network with the theory of fuzzy logic and applied to the fault diagnosis of rolling bearing.Then by means of object-oriented analytic methods as well as programming skills,we implement the intellective diagnosis and manage system of bearing test machine.