Fast Quantitative Method to Detect the Cross-Sectional Loss of Wire Rope Defects
| Autor: | Wei Gao, Pan Shimin, Enchao Zhang, Xiaolan Yan, Donglai Zhang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Materials science
020208 electrical & electronic engineering Flux Wire rope 02 engineering and technology Mechanics engineering.material Signal Magnetic flux Magnetic field Nonlinear system Quality (physics) 0202 electrical engineering electronic engineering information engineering engineering Electrical and Electronic Engineering Instrumentation Leakage (electronics) |
| Zdroj: | IEEE Transactions on Instrumentation and Measurement. 70:1-11 |
| ISSN: | 1557-9662 0018-9456 |
| DOI: | 10.1109/tim.2021.3054695 |
| Popis: | The loss of metallic area is the most important factor affecting the quality of wire ropes. Therefore, it is very important to detect the loss of metallic area values of wire rope defects quickly and accurately. At present, the main flux detection approach is one of the most effective methods, and the detection signal is related directly to the metal cross-sectional area of the wire rope. However, when the defect width is less than a specific value, the existence of the leakage magnetic field means that the amount of the magnetic flux change is not only related to the loss of metallic area of the defect but also has a complex nonlinear relationship with the defect width. The resulting calculation is highly complex and means that the loss of metallic area cannot be determined quickly and quantitatively. This article presents an in-depth study of the theoretical basis of magnetic flux detection, analyzes the problems of the main magnetic flux detection method and their causes, and proposes a method to improve main magnetic flux detection using the axial magnetic flux density. Simulation analysis and experimental results show that the method presented in this article can be used to calculate the loss of metallic area values of defects quickly and accurately without the need for complex calculation processes. |
| Databáze: | OpenAIRE |
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