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For the reason that the application of the neural network in the condenser fault diagnosis has some restrictions, the result of the fault diagnosis based on neural network is unsatisfied. On the basis of the fault diagnosis of condenser based on neural network, the thought of data fusion is introduced in this paper and a method of condenser integrated fault diagnosis based on multiple neural networks...
According to the insufficiencies in condenser fault diagnosis based on single neural network, a new method of condenser fault diagnosis based on neural network and information fusion has been proposed this paper. By means of grouping fault symptoms, the different neural networks have been adopted to diagnose faults. And the results are composed of the preliminary fault diagnosis synthetic matrix....
In order to enhance the accuracy rate of the fault diagnosis of condenser, a fault diagnosis method based on consensus information fusion is presented. The decision-making distance is calculated and the closest supporting group is found. By integrating the results of the closest supporting group, the best decision-making value of fault diagnosis is obtained. This method is applied in the simulation...
The high quality of the information source can improve the accuracy of target recognition when data is fused via multi-information sources. In this paper, it proposes a new method to determine the reliability coefficient of the information source by information criterion. With calculating the reliabilities of information sources, the more reliable source would be used in the combination process to...
This research focuses on the problem of autonomous land vehicle (ALV) navigating on the unstructured roads which have no lane marks, may have degraded surfaces and edges, and may have shrub and weed alongside. Because of the complexity and irregularity of the road edges, the accurate and stable edges can not be obtained on the pixel level. We developed a novel sensor fusion and motion fusion parallel...
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