Author(s)

Zhao Xin, Chen Da, Yang Qiang, Sun Zhili

Corresponding Author

Chen Da

ABSTRACT

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.

KEYWORDS

Cranes, AE, detection, Q235, crack, welding defects