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	Structure design of a high-performance aluminum nitride differential resonant accelerometer 期刊论文 OAI收割 Proceedings of SPIE - The International Society for Optical Engineering, 2017, 卷号: 10605, 页码: 1060519 作者: Lei, Qiang; Gao Y(高扬); Gao, Yang; Zhang, Da-Peng \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2019/08/29 resonant accelerometer aluminium nitride microleverage supporting beam differential frequency detection
	Structure design of a high-performance aluminum nitride differential resonant accelerometer 期刊论文 OAI收割 Proceedings of SPIE - The International Society for Optical Engineering, 2017, 卷号: 10605, 页码: 1060519 作者: Lei, Qiang; Gao Y(高扬); Gao, Yang; Zhang, Da-Peng \| 收藏 \| 浏览/下载：20/0 \| 提交时间：2019/08/27 resonant accelerometer aluminium nitride microleverage supporting beam differential frequency detection
	Arc fault signatures detection on aircraft wiring system (EI CONFERENCE) 会议论文 OAI收割 6th World Congress on Intelligent Control and Automation, WCICA 2006, June 21, 2006 - June 23, 2006, Dalian, China Hongkun Z.; Tao C.; Wenjun L. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 In this paper an arc fault detection method Is proposed based on characteristics of the fault current of an electric arc. A localized signal processing method Is developed using wavelet analysis to decompose the differential current signal Into a series of wavelet components each of which Is a time-domain signal that covers a specific frequency band. Thus more distinctive signal features that represent arc faults and other fault transient phenomena are extracted. As a result by quantifying the extracted features an arc faults are distinguished from phenomena similar to arc and other fault transients using the differences In the quantified features. Simulation studies have demonstrated that the proposed method Is reliable and simple. 2006 IEEE.