Research progress in signal processing algorithms for nondestructive testing of steel wire ropes
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摘要: 电磁无损检测技术是实现钢丝绳状态监测的重要方法。从钢丝绳的电磁检测方法、信号预处理、特征提取和定性判断及定量分析等4方面对钢丝绳电磁检测技术进行综述。概述了钢丝绳电磁检测技术的研究现状和相关进展;探讨了不同检测技术对钢丝绳缺陷检测的影响;并从信号处理角度分析了常用的降噪方法,特征提取算法和定性及定量分析方法,论述了股波、振动等噪声对钢丝绳缺陷信号的影响及对应的降噪方法;在对比特征提取算法优缺点的基础上给出了损伤定性判定及定量分析的有效方法。最后,探讨了钢丝绳电磁检测技术的不足和未来发展方向。Abstract: Electromagnetic nondestructive testing technology is an important method for monitoring the condition of steel wire ropes. This paper summarized electromagnetic testing technology for steel wire ropes, from four parts: electromagnetic testing methods for steel wire ropes, signal preprocessing, feature extraction, qualitative judgment, and quantitative analysis. This paper summarized outlined the research status and related progress of electromagnetic testing technology for steel wire ropes. The impact of different detection techniques on the detection of steel wire rope defects also plored, and from the perspective of signal processing, commonly used noise reduction methods, feature extraction algorithms, and qualitative and quantitative analysis methods were analyzed. The impact of noise such as strand waves and vibrations on steel wire rope defect signals and corresponding noise reduction methods were discussed. On the basis of comparing the advantages and disadvantages of feature extraction algorithms, an effective method for qualitative judgment and quantitative analysis of damage was proposed. Finally, the shortcomings and future development directions of electromagnetic testing technology for steel wire ropes were discussed.
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