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2篇 您的检索式：作者名="Conghuan Yang"

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		题名	作者	年代	出处	被引量
	1	Wave‑Shaped Piezoelectric Nanofber Membrane Nanogenerator for Acoustic Detection and Recognition显示文摘With the rapid development of internet of things and wearable electronics,how to conveniently power uncountable sensors remains a huge challenge.Energy harvesting strategy is suggested to collect and convert environmental energies into electrical energy.Thereinto,piezoelectric polymers are utilized as fexible harvesters to convert mechanical energy.The latter widely distributes in both our daily life and industrial environment.Intrinsic piezoelectric property further drives piezoelectric polymers to construct fexible self-powered strain sensors.However,relatively low piezoelectric performance restricts their application in detection and conversion of weak mechanical excitations.Herein,wave-shaped 3D piezoelectric device was fabricated by embossing electrospun polyvinylidene fuoride nanofbers.This 3D structured device presents better longitudinal and transverse piezoelectric performance than usual fat-type one.This wave-shaped piezoelectric device was developed for acoustic detection and recognition with a frequency resolution better than 0.1 Hz.This wave-shaped device was capable of frequency spectrum analyses of various sound sources from human and animals and well presents its potential for future wearable acoustic sensors and transducers.	Fan Xu Jiang Yang Ruizhi Dong Hanxiao Jiang Conghuan Wang Weilin Liu Zaixiu Jiang Xiaoqing Zhang Guodong Zhu	2021	Advanced Fiber Materials2021，3，6：	2
	2	Online Power System Voltage Stability Index for LCC HVDC Using Local Measurements显示文摘This paper proposes an online power system voltage stability index(PVSI Online)that quantifies power system voltage stability in real time between an AC network and LCC HVDC using only local measurements.Previous methods relied on using telecommunications to inform a change in a predetermined AC network model.The proposed method uses local measurements of voltage and current from the HVDC using a newly developed,numerically robust technique called Moving Window Covariance to detect a change in the AC network in real time.These network parameters are fed to a newly devised index that accurately models and captures the dynamics of the interaction between an LCC HVDC and AC network.The index is used to quantify stability,but also to advise network operation.In an onset of instability due to network degradation,the proposed index can provide a power order value for the HVDC to restore stability.All as a self-contained module that can be implemented within a HVDC scheme.	David Li Conghuan Yang Ying Xue Xiao-Ping Zhang	2023	CSEE Journal of Power and Energy Systems2023，9，1：	0

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