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Based on the analysis of the vibration fault features of mine ventilator, the paper established a fuzzy wavelet neural network model which can diagnose the faults of mine ventilator. The fuzzy wavelet neural network model unify fuzzy logic and BP neural network, using wavelet basis function as membership function. Furthermore, a hybrid learning algorithm based on self organized and supervised learning...
To effectively diagnose the aircraft structure components fatigue damages, a new kind of health diagnosis approach for the aircraft, based on experience modal decomposition (EMD) and probabilistic neural network (PNN), is proposed in this paper. The advanced acoustic emission (AE) technique is used to monitor the aircraft stabilizer health state and get the AE information. And the AE information from...
The mining of weighted association rules is one of the primary methods used in telecommunication alarm correlation analysis, of which weight set is a difficulty. In this study, we propose a novel method which uses neural network to identify the alarm weight. The neural network has three inputs with the key elements which reflect the importance of the telecommunication alarm. After the course of sample...
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