史慧超,博士,副教授,硕士生导师

发布人:信息学院发布时间:2020-04-14浏览次数:910


史慧超(Hui-Chao Shi):副教授,硕士生导师;2015年毕业于北京航空航天大学精密仪器及机械专业,获工学博士学位,2014年美国Missouri大学机械与航空系访问学者。现任中国仪器仪表学会传感器分会理事。近五年,以第一作者/通信作者在本专业领域国际权威期刊MECH SYST SIGNAL PRSENSOR ACTUAT A-PHYSREV SCI INSTRUMIEEE ACCESS等发表SCI/EI收录论文30余篇,其中SCI收录十余篇,申请发明专利5项;主持国家重点研发计划课题1项、科工局基础科研项目课题1项、博士后科学基金面上项目1项以及企业横向项目多项,参与完成自然科学基金面上项目、自然科学基金仪器专项、科技部重点研发计划等多项项目。

研究方向:化工过程参量测量、传感技术及器件、智能传感器、智能感知网络等。


教学课程Teaching courses

课程名称

面向对象

传感器原理

本科生

流量测量技术

研究生

 

主持、参与的主要科研项目 Research Projects

项目名称

项目来源

标准级压力、流量仪表参数智能自修正技术研究

国家重点研发计划项目(负责人)

智能感知网络构建技术

科工局基础科研项目(负责人)

基于混沌振子的谐振式MEMS传感器微弱信号检测方法研究

博士后基金面上项目(负责人)

市政自来水厂运行演示系统

企业横向课题(负责人)

基于CFD的流场模拟仿真计算与分析

企业横向课题(负责人)

基于PIV实验管路的典型流场CFD数值模拟

计算

企业横向课题(负责人)

 

代表论文Research Papers

[1] Huichao Shi*, Kang X, Niu L, et al. Application of principal component analysis method for micro-resonator weak resonant signal detection[J]. Review of scientific Instruments, 2020, 91(8):085002.

[2] Huichao Shi* , Zhu G , Cao L , et al. Study on temperature influence of an electrothermally excited MEMS resonant sensor based on finite element method[J]. Microsystem Technologies, 2020(1):1-10.

[3] Huichao Shi*, Kang X, He S, et al. Study on the influences of multiple parameters with uncertainty in the clamp on ultrasonic flowmeter[J]. IEEE Access, 2020, 8: 183787-183798

[4] 史慧超, 康希锐, 孟涛. 基于奇异值分解的水流量标准装置状态监测方法研究[J].计量学报, 2020, 41(11):1-6.

[5] Huichao Shi*, W.L. Li. The application of chaotic oscillator in detecting weak resonant signal of MEMS resonator [J]. Review of Scientific Instruments, 2017.5,88(5):055003.

[6] Huichao Shi*, W.L. Li.Design and optimization of DETF resonator based on uncertainty analysis in a micro-accelerometer [J]. Microsystem Technologies, 2017:1-15.

[7] Huichao Shi*, W.L. Li. Research on Weak Resonance Signal Detection Method Based on Duffing Oscillator[J]. Procedia Computer Science, 2017, 107:460-465.

[8] Huichao Shi*, Shangchun Fan, Yuwen Zhang. Design and optimization of slit-resonant beam in a MEMS pressure sensor based on uncertainty analysis [J]. Microsystem Technologies, 2017:1-15.

[9] Huichao Shi*, wenlong Li. Temperature compensation methodology based on artificial neural network in a MEMS electro-thermal excitation resonant pressure sensor[J]. Journal of residuals science & technology, 2016,13(8):378.1-378.8.

[10] Huichao Shi*, Shangchun Fan, Yuwen Zhang. Analysis of phase drift based on uncertainty analysis in electro-thermal excited MEMS resonant sensor[J]. Microsystem Technologies, 2016, 1-11.

[11] Huichao Shi*, Shangchun Fan, Yuwen Zhang, Jinhao Sun, Nonlinear dynamics study based on uncertainty analysis in electro-thermal excited MEMS resonant sensor, Sensors and Actuators: A. Physical. 2015, 232:103-114

[12] Huichao Shi*, Shangchun Fan, Weiwei Xing, Jinhao Sun, Study of weak vibrating signal detection based on chaotic oscillator in MEMS resonant beam sensor, Mechanical Systems and Signal Processing, 2015, 50: 535-547

[13] Shi Huichao*, Fan S.C., Zhang Y.W., Sun J.H., Design and optimization based on uncertainty analysis in electro-thermal excited MEMS resonant sensor, Microsystem Technologies, 2015, 21(4): 757-771

[14] Meng T, Shi Huichao*, Wang C, et al. Application of principal component analysis in measurement of flow fluctuation[J]. Measurement, 2020:108503.

[15] Meng, T. , Fan, S. and Shi Huichao*. Influence analysis of fluctuation parameters on flow stability based on uncertainty method. Review of Scientific Instruments, 2018, 89(5), 055005.

[16] Meng, T. , Fan, S. , Wang, C. , and Shi Huichao. A flow stability evaluation method based on flow-pressure correlation. Flow Measurement and Instrumentation. 2018.

 

科研成果