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Wen-Ming Zhang

Researcher at Shanghai Jiao Tong University

Publications -  299
Citations -  8493

Wen-Ming Zhang 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 37, co-authored 253 publications receiving 5156 citations. Previous affiliations of Wen-Ming Zhang include Nanyang Technological University & Kyoto University.

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Electrostatic pull-in instability in MEMS/NEMS: A review

TL;DR: In this paper, a review of the pull-in phenomenon in electrostatically actuated MEMS and NEMS devices is presented, along with physical principles that have enabled fundamental insights into the pullin instability as well as pullin induced failures.
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A review on slip models for gas microflows

TL;DR: In this article, a review of various slip models obtained from different theoretical, computational and experimental studies for gas microflows is presented, which reveal the discrepancies arising from different definitions in the first-order slip coefficient and various approaches to determine the second order slip coefficient.
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Mechanical modulations for enhancing energy harvesting: Principles, methods and applications

TL;DR: In this paper, the key roles of mechanical modulations for energy harvesting are emphasized, and the methods and principles of mechanical modulation and their applications to energy harvesting systems are reviewed and classified into three categories: excitation type conversions, frequency up-conversions, force/motion amplifications.
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Polynomial Chirplet Transform With Application to Instantaneous Frequency Estimation

TL;DR: An effective IF estimation algorithm is proposed based on the PCT, and the effectiveness of this algorithm is validated by applying it to estimate the IF of a signal with a nonlinear chirp component and seriously contaminated by a Gaussian noise and a vibration signal collected from a rotor test rig.
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Nonlinear Chirp Mode Decomposition: A Variational Method

TL;DR: In this article, a variational nonlinear chirp mode decomposition (VNCMD) is proposed to analyze wide-band NCSs, which can be viewed as a time-frequency filter bank, which concurrently extracts all the signal modes.