Design and Realization of the Intelligent Fault Diagnosis Key Technologies Based on D-S Evidence Theory
Hongmei Jiang · Measurement & Control Technology · 2008
Taking the intelligent examination and the faults-diagnostic technology as the object of study,the feature extraction,the pattern recognition and the faults forecasting technology and so on the key technologies are analyzed,and the wavelet transformation algorithm and the artificial neural networks algorithm are discussed.In view of the fact that the artificial neural networks algorithm easy to appear the system failure localization not accurate insufficiency,the D-S(Dempster Shafer) evidence theory is introduced.First,the BP neural network to carry on the partial diagnosis to the fault information is used,then the fusion using the D-S evidence theory to the partial diagnosis result is carried on,and the final fault result is obtained.The introduction of D-S evidence theory increases the diagnosis result reliability and the accuracy,enhances the diagnosis algorithm compatibility.Under the LabWindows/CVI platform,the intelligent faults-diagnostic algorithm has been realized.