会议专题

Experimental Study on Defects Testing of Crane based on AE

  The online location and feature identification of the conventional defects such as cracks is the key to crane safety evaluation and accident prevention. SDAES acoustic emission (AE) detector and GPS-100 high frequency fatigue tensile testing machine are used to collect and analyze the AE signals of specimens of Q235 material, cracks and welding defects under different loading conditions, and then fault location estimation as well as signal and spectral characteristics analysis of conventional defects are achieved by applying signal processing techniques. Finally, the main characteristic parameters distribution ranges are analyzed from the typical AE experimental signal of Q235 material and conventional defects samples. Research in this paper provides basic data and technical reference for the application of AE to crane hazard detection.

cranes AE detection Q235 crack welding defects

Zhao Xin Chen Da Yang Qiang Sun Zhili

School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China;Liaon School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China

国际会议

2018 3rd International Conference on Mechatronics and Information Technology (ICMIT 2018) (2018第三届机电与信息技术国际会议)

成都

英文

1-5

2018-10-30(万方平台首次上网日期,不代表论文的发表时间)