Study On The Theory Of Electromagnetic Detection And Development Of Virtual Instrument For Steel Rope Broken Wire

Steel ropes is widely used in many industries such as mining, metallurgy, transport, port and 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. 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 is one of the main form of Steel rope's damage. On the base of analyzing and discussing the domestic and foreign research about steel rope detection,based on the principle of electromagnetic detection, this paper takes a full study of the design of detection device and the processing of steel rope fault signal. Finally, a virtual instrument for steel rope fault detection is developed.The magnetization of ropes is the basis and premise of creating defect signal.Firstly, this paper analyzes the magnetizer's structure characteristic of the steel rope detection equipment based on electromagnetism method. The calculation and experiment indicate that using permanent magnet can meet the need of detection with less weight and volume. It measures the surface magnetic field of the steel rope by the Hall's sensor and analyzes the characteristic of the fault signal. The characteristic of Hall sensor is also analyzed. Both a detection system of steel rope fault diagnosis and a signal processing system are developed. This paper makes a detailed research on the fault signal processing system, where the single-chip—AT89C52 is the key part and which can achieve on-line detection of steel rope.Secondly, the wavelet singular detection has been researched through wire ropes signal's singular feature and feature extraction was done from broken wires signal based on the specialty of multi-resolution analysis of wavelet.And a pattern recognition method, which is based on RBF network, of steel rope fault signal is put forward. A RBF network model for quantitative identification of steel rope fault signal is set up by using the toolbox of MATLAB. According to simulative and real detection, the writer validates its reliability and practicality.Finally, a virtual instrument for steel rope fault detection is developed by using LabVIEW, which provides a friendly interface for human-computer interaction.