Application of active electric field in defect detection

Inspired by the research on the active electrolocation organs of weakly electric fish in bionic engineering field, we proposed a new defect detection method based on the active electric field detection principle. In this study, we established an underwater defect detection experimental platform, and conducted joint time-frequency analysis and recognition algorithm on electric field signals collected during the experiment to obtain the joint time-frequency spectrogram (JTFS) and frequency inflection points (FIPs) of the detected objects. Through the JTFS and FIPs of the tested object (copper material) , we can get the defect size and position information and carry out further data processing in deeper exploration. This new defect detection method not only increases the types of defect detection methods, but also broadens the application range of active electric field. The study starts from the perspective of engineering experiments and demonstrates the feasibility and effectiveness of the novel defect detection method.