Broken Wire Rope Magnetic Flux Leakage Tesking And Test Signal Processing

Steel ropes is widely used in many industries ,such as mining, metallurgy, transport, port,tourism. The complex structure and the bad environment make it easily abraded, corroded, fatigue and wire broken. Once the Steel ropes broken in running, it will cause tremendous casualty and economy loss. In addition, none of the theories and reliable forming methods evaluate the in servie rope safety science.Therefore, steel wire's damage detection has been attached great importance to the countries in the world, to become a world-wide phenomenon, both theoretical as well as practical value of the important research topic.Broken wire rope injury is one of the main form. Based on the comprehensive analysis and discusses the form of wire rope types and damage is proposed, based on the principle of magnetic flux leakage detection based on wire, wire damage signal is produced and distribution, injury, damage detector design signal processing etc studied and developed on the basis of broken wire rope damage detection of virtual instrument system.This article describes the principle and the leakage magnetic flux leakage field characteristics Wire Ropes, and analyzes the factors that affect the distribution of leakage magnetic field. Based on anglicizing magnetic structure parameters by modeling, we developed the excitation device,and verified the excitation device excitation capability by experiments, and chose integrated Hall to detect element magnetic field leakage of the broken wire, analyses the effect of the lift-off value, the number and distribution of Hall elements on the test results, and then developed the detector and signal preprocessing system.This subject is based on NI PXI-bus of the United States NI company to develop detection devices of the damage of Wire Ropes which uses a set of data acquisition card, PXI-6281, as the core. By this device we can detect damage of the broken wire rope real-time online. Using visualization software LabVIEW we developed a detection virtual instrument system of damage of Wire Ropes , and provided a friendly interactive interface for detection of the damage of broken wire rope. Introduced the method of wavelet theory and eliminating noise, and by comparison determined the best wavelet bases to filter Signal Wire Ropes. Established BP neural network model for the quantitative detection of broken wire damage; Because most damage of broken wire rope concentrated in the outer layer, instead of a broken wire rope we can use the steel beams made of different combinations (located in the outermost layer 2) of the specimen; Using this detection system designed we detected the damage of the specimen , extracted the feature values and trained the neural network; and through experimental verification, the rate of error is 10% or less. This shows that the neural network model can achieve quantitative identification of injured Wire Ropes.