Abstract
Safe use of ropes connotes different methods of inspection: destructive inspection and nondestructive testing with visual and instrumental inspection. Destructive inspection can only bring the information about tested part of rope. Magnetic non destructive evaluation is regularly done for assessment of rope condition. Magnetic flux leakage techniques are widely used for wire rope inspection to assure its integrity and safe operation. MFL signals are captured from wire rope tester with the help of hall sensors. Two types of defects are present in wire rope i.e. LF and LMA. These defects are captured with the help of hall sensors. Hall sensors were used in such a way so that it can capture signals both axially and circumferentially. Hall sensors are organized to produce a MFL image. To preprocess the MFL image digital image processing technique is used. Gray level co-occurrence matrix is used to extract the features of MFL image. BP network based feature extraction technique is used to detect defects in a wire rope.
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