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.

钢丝绳（SWR）缺陷信号处理技术和方法是准确检测和识别缺陷的关键，这对于保证人类生命和财产安全至关重要。但是，常用的感应线圈传感器检测到的检查信号通常容易受到检测器的扫描速度，钢丝绳晃动和振动的影响，而当它们被霍尔元件传感器感应时不会受到影响。因此，进行了通过霍尔传感器检查断丝的钢丝绳局部故障（LF）和磁通泄漏（MFL）测试方法的实验，并获得了不同组的原始信号。然后，从基线漂移消除和信号降噪的角度比较和评估了多种信号处理方法的性能。除了，研究并揭示了这些信号处理方法中的主要影响参数。最后，分析和讨论了不同过滤方法。