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Sha Wei

Researcher at Shanghai Jiao Tong University

Publications -  17
Citations -  199

Sha Wei is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Nonlinear system & Vibration. The author has an hindex of 7, co-authored 10 publications receiving 145 citations. Previous affiliations of Sha Wei include Tsinghua University.

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Dynamic response analysis on torsional vibrations of wind turbine geared transmission system with uncertainty

TL;DR: In this paper, a torsional vibration model is derived for a geared transmission system, in which some parameters including the mesh stiffness, the transmission error, the mesh damping, the shaft damping and the moment of inertia of the input blades and the driving coupling shaft are considered as uncertain but bounded parameters.
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Power fluctuation and power loss of wind turbines due to wind shear and tower shadow

TL;DR: In this paper, the effects of wind shear and tower shadow on power output in terms of power fluctuation and power loss to estimate the capacity and quality of the power generated by a wind turbine were investigated.
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Dynamic response of a single-mesh gear system with periodic mesh stiffness and backlash nonlinearity under uncertainty

TL;DR: In this article, the authors improved the interval harmonic balance method (IHBM) to solve the dynamic problems of gear systems with backlash nonlinearity and time-varying mesh stiffness under uncertainties.
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Dynamic analysis of parametrically excited system under uncertainties and multi-frequency excitations

TL;DR: In this article, a non-probabilistic analysis method for solving the dynamic responses of parametrically excited systems under uncertainties and multi-frequency excitations is presented, which can provide valuable guidance for the optimal design and condition monitoring of wind turbine gearboxes.
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A two-stage time domain subspace method for identification of nonlinear vibrating structures

TL;DR: In this paper, a two-stage time domain approach based on the subspace method is proposed to identify multiple degree-of-freedom vibrating structures with local nonlinearities, which reduces the dimensions of matrices which are used to calculate the system's state-space model and also gives a more appropriate estimation of the order of the underlying linear system with the utilization of classical spectrum estimation techniques.