Comparison and analysis of multiple signal processing methods in steel wire rope defect detection by hall sensor

Steel wire rope (SWR) defect signal processing techniques and methods are the key to exact defect detection and identification, which is important in guaranteeing human lives and property. But the inspection signals sensed by the commonly used inductive coil sensor are often susceptible to the detector's scanning speed, wire rope shaking and vibration, whereas they are unaffected when induced by hall element sensor. Thus, the experiments for wire rope local fault (LF) of broken wire inspection by hall sensors and magnetic flux leakage (MFL) testing method are conducted, and different groups of original signals are obtained. Then, performances of multiple signal processing methods are compared and evaluated in the perspective of baseline drift elimination and signal denoising. Besides, the main impact parameters in these signal processing methods are investigated and revealed. Finally, comparisons and discussions for different filtering methods are analyzed and presented.

Automated summary

In this study, experiments were conducted comparing the detection of wire rope defects using hall sensors and inductive coil sensors, with hall sensors proving to be less susceptible to interference. The main impact parameters in signal processing methods were investigated, and comparisons and discussions for different filtering methods were analyzed and presented.