Wavelet transform of signal for enhancement of SNR in wire rope inspection

In magnetic testing of steel wire rope the MFL signals of broken wires may be corrupted by background noise arising from the probe lift-off, vibration and white noise, resulting in unreliable detection and inaccurate characterization of rope weakness. In this paper, a signal processing technique is presented to reduce this background noise by the use of a wavelet transform. The results of processing signals from testing rope pieces show that proposed technique is effective for extracting defect signals