Han Xiao

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Keywords: Takagi–Sugeno model System identification Heuristic algorithms Hydraulic turbine governing system Chaotic gravitational search algorithm Fuzzy c-regression model a b s t r a c t Hydraulic turbine governing system (HTGS) is a complicated nonlinear system that controls the frequency and power output of hydroelectric generating unit (HGU). The(More)
For Product Named Entity Recognition, Conditional Random Fields model is used in this paper. By introducing the domain ontology features to the CRFs model can improve the performance of Product Named Entity Recognition, and experiments were made to compare the two kinds of feature templates. Empirical results show that the PNER based on CRFs model with(More)
This paper presented a novel procedure based on the ensemble empirical mode decomposition and extreme learning machine. Firstly, EEMD was utilized to decompose the vibration signals into a number of IMFs adaptively and the permutation entropy of each IMF was calculated to generate the fault feature matrix. Secondly, a new extreme learning machine was(More)
A framework for product named entity recognition in Chinese was presented using Conditional Random Fields with multiple features in this paper. It differentiates from most of the previous approaches mainly as follows. Firstly, introducing the domain ontology features to the CRFs model can use its semantic information. Secondly, combining internal and(More)
For the case of complicated turbulent velocity distribution caused by the pipeline structure of hydraulic unit, a method of multi-channel ultrasonic flow rate measurement based on piecewise curve fitting is proposed. In this method, the line mean velocities are obtained by the multi-channel parallel layers measurement. According to the features of the fluid(More)
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