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We address the problem of component fault detection and isolation in nonlinear dynamical systems. We consider parameterized nonlinear state-space models and, in the framework of the local approach we have developed, we investigate two possible solutions. The first one is based on state elimination and the use of an equivalent input-output model. The second one is based on state estimation and the...
In this paper, it mainly introduces and analyzes the virtual reality technology. It shows a method of 3D products online virtual display based on the 3DS MAX and VRML. Build the 3D modeling of the three-phase asynchronous motors with 3DS MAX, and build its virtual display model of the scene. The combination of VRML virtual interactive technology has become a virtual scene about interactive virtual...
For the development of reliable electric and electronic systems, a promising technology for transmission line fault diagnosis is the reflectometry, which consists in analyzing the reflection and the transmission of electric waves observed at the ends of a transmission line. For hard fault (open or short circuits) diagnosis, efficient reflectometry-based methods have been reported. However, the diagnosis...
Human cognition is a very complicated process. Granular Computing (GrC) is a kind of new idea and new method in the artificial intelligence field to simulate the human problem solving in cognition process. In this paper, several typical cognition models are reviewed at first. A new cognition model based on the methodology of GrC, that is, the image cognition model based on GrC, is discussed then....
Usually, data mining is considered as the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. In our data-driven data mining model, knowledge is originally existed in data, but just not understandable for human. Data mining is taken as a process of transforming knowledge from data format into some other human understandable format like rule, formula,...
The fuzzy quotient space model is a hybrid model between quotient space theory and fuzzy set theory, which are two important methods in granular computing models, and it is based on fuzzy equivalence relation. There are many algorithms with high complexity for computing the fuzzy equivalence matrices. A new algorithm is proposed to compute the fuzzy equivalence matrices in this paper, and its time...
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