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In order to overcome the imperfection and insufficiency of the conventional fault diagnosis based on fuzzy logic, the concept of relative inferiority degree is introduced to represent the conversion degree from the actual state to failure state. Using the relative inferiority degree as an input to build the membership function of the fuzzy logic, an improved fault diagnosis model based on the fuzzy...
Synthetic Decision Support System is combined with online analytical processing, data mining, model libraries, databases and knowledge bases. It will become one of the key technologies of data management services of Internet of Things, and it will establish the foundation for the smart city. This paper researches on the sequential pattern mining for decision support, implements the Prefix Span algorithm,...
The popular existing de-noising methods are compared and analyzed, including wavelet packet decomposition, coefficient shrinkage and modulus maxima method of wavelet transform, which advantages and disadvantages are analyzed and summarized. So their suitable scopes and premise condition are obtained. To accurately analyze high frequency part of signal in submarine tunnel monitoring, the maxima method...
Natural gas, which is treated as an alternative to the depleting supplies of oil, is widely used for fuel and electricity production. The use of natural gas in the world depends upon the thousands miles of natural gas pipeline networks that have been set up in few decades. The safe operation of these complex systems is of significant importance due to the intrinsic characteristics of hydrocarbons...
This essay proposes a scheme to construct an intelligent campus supermarket system on the strength of the Internet of Things (IOT) technology. This project, supported by the IOT, is to achieve quick query and positioning of products. It also gives consideration to convenient self-settlement and intelligent commodity inventory and statistics. Thus, it is conducive to provide a solution to professional...
In this article, a model migration strategy based on subspace separation is proposed for process monitoring by taking advantage of common information between an old process and a new process. Firstly, a global basis vector is extracted and deemed to enclose the cross-set similar correlations. Then two different subspaces are separated from each other in the new dataset. The kernel principal component...
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