一种改进的特征面积和特征能量计算方法及其应用

特征面积、特征能量算法是时域分析方法中识别信号局部突变的有效手段 ,但传统算法在用于含有低频或直流干扰信号的场合时具有局限性。分析了无缝钢管在线漏磁检测原理 ,对钢管缺陷识别技术中的特征面积、特征能量算法进行了改进 ,提出了新的算法。结果表明 ,利用改进后的算法对有缺陷区域的特征面积、特征能量进行计算的结果与无缺陷区域的计算结果差别明显 ,二者之比有大幅度提高。有外伤与无伤特征面积之比值大于 2 8,特征能量之比值大于 90 0 ,有内伤与无伤特征面积之比值大于 10 ,特征能量之比值大于 90。以此特征面积和特征能量作为特征量识别钢管缺陷及判断内、外伤的类型 ,效果良好。该方法容易实现 ,适于生产过程中进行实时监测

An improved method for calculating characteristic area and characteristic energy and its application

The principle of real-time magnetic flux leakage inspection (MFLI) for seamless tube was studied. The calculation methods for characteristic area and characteristic energy applied to intelligent recognition technique for detecting flaws on seamless tube were improved. A new algorithm was proposed and used to calculate the characteristic area and characteristic energy of flow zone on seamless tube. The calculated result of the seamless tube with flaw zone was better than that of the seamless tube without flaw zone by the use of the new algorithm. This scheme is easily realized and favorable to real-time monitor of the quality of steel tube in the manufacturing process. The ratio of the characteristic area of the steel tube with outside flaw to that without flaw is more than 28,and the ratio of the characteristic energies are 900. The ratio of characteristic area of the tube with inside flaw to that without flaw is over 10,and the ratio of the characteristic energy is over 90. This method is very efficient for identifying outside and inside flaws of seamless steel tube.