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In this paper, linear parameter varying (LPV) modelling technique is addressed for modelling a wind turbine system, with real-time changing scheduling parameters. Based on the LPV wind turbine model, a LPV observer-based fault detection method is utilized to detect faults under four scenarios. The effectiveness of the proposed modelling and fault detection techniques is demonstrated by using the widely-recognized...
This paper focuses on the problem of construction engineering project quality evaluation, which is of great importance in modern construction engineering project management. At first, a construction engineering project quality evaluation index system is provided, which contains five parts: 1) Construction engineering project quality evaluation, 2) Structural engineering, 3) Masonry engineering, 4)...
A generic model of grid-connected doubly-fed induction generator (DFIG)-type wind turbines represented by differential-algebraic equations (DAE) is proposed for short-term transient-stability analysis. From the view of analytical research, vital simplifications are made to the complex physical model of DFIGs, whereas characteristic dynamics are still preserved. When the connection between the wind...
A linear parameter varying (LPV) model for a class of nonlinear thermoelectric (TE) system is presented, which provides a relatively simple modeling process and high model accuracy. Identified model parameters are applied to design the adaptive Smith PID controller, which simplifies the computation of the control process owing to the low order of LPV models and the Smith structure. Further more, a...
The selectivity of diffusion mechanism and parameters is the key in the field of image nonlinear diffusion filtering based on Perona-Malik model. The threshold estimation of the diffusion function depends mainly on the experience in the existing methods. In this paper, the relationship between the image features, the noise variance and the threshold are analyzed, and a new threshold estimation method...
According to the characters of CE signal, improved wavelet thresholding with translation invariant was described to denoise for microchip capillary electrophoresis in this paper. The improved thresholding function has muti-derivative compared with the soft thresholding. The denoising method can not only remain the geometrical characteristics and keep the amplitudes of the original electrophoresis...
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