教授
姚屏
  • 所属院校:
    广东技术师范大学
  • 所属院系:
    --
  • 研究领域:
    工业机器人与智能装备、制造过程智能检测与控制、结构健康监测
  • 职称:
    教授
  • 导师类型:
    --
  • 招生专业:
    控制科学与工程
个人简介

个人简述:

广东省工业机器人智能驱控系统与应用工程技术研究中心主任;校“智能控制技术与装备制造创新团队”负责人;广州市仪器仪表学会理事。


科研工作:

1.论文:(1) Yao Ping(#), e tal “Quantitative Evaluation Method of Arc Sound Spectrum Based on Sample Entropy”, Mechanical Systems and Signal Processing,2017, 92,:379-390(SCI 影响因子:4.116, JCR 一区)(2)Yao Ping(#),e tal,Real time monitoring of spot-welded joints under service load using lead zirconate titanate (PZT) transducers,Smart Materials and Structures,2017,26, Article ID: 035059:1-13。(SCI 影响因子:2.91, JCR 一区)(3) Yao Ping(#),e tal,Symmetrical transition waveform control on double-wire MIG welding,Journal of Materials Processing Technology,2016,229:111-120。(SCI 影响因子:2.236, JCR 一区)(4) Yao Ping(#),e tal,Structural health monitoring of multi-spot welded joints using a lead zirconate titanate based active sensing approach,Smart Materials and Structures,2016, 25, Article ID: 015031: 1-10。(SCI 影响因子: 2.502, JCR 一区)(5)Yao Ping, e tal, “Application of Short Time Energy Analysis in Monitoring the Stability of Arc Sound Signal”, Measurement(SCI 影响因子:2.359, JCR Q2/Q2,), Online Published at April 12, 2017, doi:10.1016/j.measurement.2017.04.015(6) Yao Ping(#),Zhou Kang(*), Research of Multi-Frequency Waveform Control Method on Double-Wire MIG Arc Welding”, Applied Sciences-Basel ,2017.7(2):171.1-16 (SCI 影响因子:1.726, JCR 二区) (7) Yao Ping(#),e tal,Study on the Wire Feed Speed Prediction of Double Wire Pulsed MIG Welding based on Support Vector Machine Regression,International Journal of Advanced Manufacturing Technology,2015,79:2107-2116。(SCI影响因子:1.458, JCR 二区)(8)Yao Ping(#)(*),e tal,Sample Entropy-Based Approach to Evaluate the Stability of Double-Wire Pulsed MIG Welding,Mathematical Problems in Engineering,2014,2014(6),article ID:869631 :1-8。(SCI 影响因子:0.762, JCR 三区)

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