1. 哈尔滨工业大学深圳研究生院,广东,深圳,518055
2. 哈尔滨工业大学电气工程及自动化学院,黑龙江,哈尔滨,150001
3. 哈尔滨工业大学深圳研究生院广东深圳,518055
4. 哈尔滨工业大学电气工程及自动化学院黑龙江哈尔滨,150001
纸质出版:2007
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曹印妮, 张东来, 徐殿国. 三维漏磁场的钢丝绳局部损伤定量分析算法研究[J]. 电子学报, 2007,35(6):1170-1173.
CAO Yin-ni, ZHANG Dong-lai, XU Dian-guo. Study on Algorithms of Wire Rope Localized Flaw Quantitative Analysis Based on Three-Dimensional Magnetic Flux Leakage[J]. Acta Electronica Sinica, 2007, 35(6): 1170-1173.
本文采用均匀密布于钢丝绳圆周上的霍尔传感器阵列
捕获钢丝绳表面三维的径向漏磁信息
设计了参数自适应的空间陷波滤波器消除了股波信号
再将缺陷信号转化为灰度图
运用二维图像处理的方法进行特征提取和损伤识别. 实验结果表明
该方法可较好地区分断丝的数量及断丝断口的宽度
区分局部损伤的周向分布
如集中断丝和分散断丝.
Three-dimensional radial magnetic flux leakage information around wire rope surface is acquired by Hall sensor array annularly distributed around the rope.An adaptive spatial notch filter is designed to eliminate the strand-waveform noise.Then the filtered signal is normalized and transformed to a gray-scale map.An image recognition algorithm is introduced to extract features from the gray-scale map and distinguish among several typical localized flaws.The results show the method can identify the degree and width of a defect
distinguish the circumferential distribution of defects
e.g.concentrated or dispersive breaks.
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