Research of Failure Detection Based on the Intelligent Information Fusion Technology

摘要

The new failure detection algorithm based on intelligent information fusion is proposed, in which the non-stationary signalpsilas growth of residual error is suppressed; In order to enhance the Signal-to-Noise of weak information of residual errors, the wavelet frequency-signal analyzing technology is adopted to separate the non-stationary noise; The artificial neural network is used to eliminate the influence of the non-linear deviation signal to the residual error decision, so the applicable scope of the algorithm is expanded. The simulation results indicate that, this algorithmpsilas technical performance is superior, and the improvement effect is obvious.