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this paper proposes a method combining support vector data description (SVDD) and fussy control to deal with the gluing procedure. First, Vibration signals are used as data of fault diagnosis, kernel principal component analysis (KPCA) is employed for feature extraction of the normal and fault examples, and SVDD algorithm as classifier is used for fault diagnosis. Second, fuzzy control rules are designed...
The automatic bit-feeding process is the key technique of the drilling technology. The performance of the automatic bit-feeding system affects directly the drilling efficiency, even the success of the entire shaft project. In order to satisfy the requirements of automatic bit-feeding, a control model combining fuzzy logic with proportional integral algorithm was proposed by analyzing the system operational...
The hot-pressing fuzzy controller modeling of medium density fiberboard (MDF) was established and the arithmetic of the Mamdani theorization and synthesizing was analyzed in order to solve the problem of strong non-linear target and lag in hot-pressing time control. The continuum pressing technology does in this paper. One of the main issues in reducing the cost of the final product is to reduce the...
TSK fuzzy model is decomposed into two different populations to cooperate coevolution model learning technique for its learning is the problems of multiple constraints and multiple target optimizations. All the related problems are discussed, including encode, evolution calculation, cooperation of every population and evaluation strategy of adaptive value. The technique presented has merits in little...
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