旋转机械自供电微纳无线传感在线监测及系统关键问题研究

项目名称： 旋转机械自供电微纳无线传感在线监测及系统关键问题研究

项目编号： No.61474079

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 无线电电子学、电信技术

项目作者： 张文栋

作者单位： 太原理工大学

项目金额： 82万元

中文摘要： 旋转机械是煤炭、电力、航空等国家基础工业、行业的关键核心设备，其安全运行和有效管理直接关乎企业效益和百姓日常生活。本项目针对旋转机械传统监测系统功耗高、供电不稳、信号传输效率低、信噪比低等问题，设计与制造多参量微纳传感器、压电-摩擦复合式微能源，搭建高效能、低功耗无线传感监测网络；着重研究微纳系统异质集成设计、对准、电气互连、多芯片异质封装、可靠性测试等系统三维异质集成关键技术；重点探索强噪声背景下微弱振动信号的小波谐波提取及小波阈值降噪处理方法；优化无线网络通信与控制管理协议，增加系统功能，提高系统监测实时性与准确性。最终，为旋转机械智能在线监测与精确故障诊断奠定理论和实验基础。

中文关键词： 微机电系统；微纳加工；机械状态监测；信号处理

英文摘要： Rotating machinery is the key equipment in basic industries like coal, electric power, aviation, and so on. The safe running and effective management of which directly affects the enterprise benefit and People's Daily life.In view of the traditional problems of rotating machinery on-line monitoring system for high power consumption, low efficiency of power supply and signal transmission, low signal-to-noise ratio etc., this project will design and manufacture multi-parameter micro-nano sensors, piezoelectric-friction composite micro energy device, and will build highly efficient, low power wireless sensor monitoring network.During the research,we'll focus on the key technologies in 3D heterogeneous integration, like micro-nano heterogeneous system integration design, alignment, electrical interconnection, multichip heterogeneous encapsulation, reliability test system, etc.;explore the harmonic wavelet extraction and wavelet threshold denoising treatment method for weak vibration signal to separate from the strong noise background;optimize the communication and control protocols of the wireless network, increase the system function, and improve the real-time and accuracy of the system. Finally, establish the theoretical and experimental basis for the intelligent online monitoring and accurate fault diagnosis of rotating machinery.

英文关键词： MEMS;Micro-nano processing;Machanical condition monitoring;Signal processing