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In order to deal with the global energy crisis and environmental problems, development direction of electric power industry in the new century has become a hot issue of global concern. The smart power grid concept has come into being as the times requires. Smart distribution power grid is an important part of the smart power grid, its core objective is to realize the self-healing distribution power...
This paper firstly discusses the common fault types of networks, and the necessity and importance of intelligent fault diagnosis for networks. Secondly, the basic process for network diagnosis systems is put forward. Thirdly, the basic idea and various popular methods of network fault diagnosis based on the intelligent technology, such as: Expert System, Bayesian Network, Rough Set and Neural Networks,...
In a mature manufacturing system, the occurrence of operating fault conditions is few and far between. Majority of the data collected from such systems typically exhibits normal operating behaviours. This phenomenon inadvertently creates an imbalance between the class distributions of the data. The imbalance ratio may fall in the range of 1∶100 to 1∶1000 for every fault condition data available. The...
The present study fist proposed the structure of a multi-function car-carry fault diagnosis system, and the design of vehicle status monitoring module. Secondly, this paper analyzed the design of vehicle fault diagnosis expert knowledge base, inference machine and interpreter program. The paper used fault tree analysis (FTA) to establish fault tree of automotive engine, chassis systems, body parts...
The structure of cars is increasingly complex, the fault type, fault phenomena and fault causes of cars is more complicated, therefore ordinary users are stranded when fault happens. To solve the above questions, this paper outlines a kind of on-vehicle fault diagnosis expert system based on fault tree — neural network ensamble. The knowledge base of the expert system is divided into two parts, the...
The values of analog circuits' input and output signals and the component parameters are continuous, and meanwhile there are inevitable tolerance and non-linear components in analog circuits, therefore the presence of these factors increases complexity of the analog circuits fault diagnosis. RBF and BP neural network are two widely used feedforward neural networks, LabVIEW is a graphical programming...
It is important that selects window function and width to Short-time Fourier Transform(STFT). Especially, when diagnosing fault loudspeaker, the different analysis window function and width can influent the result of analysis on respond signal of loudspeaker. So, it proposed a selecting analysis window function and width method based on the energy correction factor, the maximum side lobe and main...
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