Background noise removal device and method for magnetic flux leakage detection and calibration

A background noise and magnetic flux leakage detection technology, applied in the direction of material magnetic variables, etc., can solve problems such as large background noise, and achieve the effect of improving the signal-to-noise ratio and improving the accuracy.

Active Publication Date: 2017-07-18
BAOSHAN IRON & STEEL CO LTD
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  • Abstract
  • Description
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Problems solved by technology

[0010] Aiming at the problem of large background noise in the calibration detection of strip defects in the prior art, the purpose o

Method used

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  • Background noise removal device and method for magnetic flux leakage detection and calibration
  • Background noise removal device and method for magnetic flux leakage detection and calibration
  • Background noise removal device and method for magnetic flux leakage detection and calibration

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Example Embodiment

[0034] Such as Image 6 As shown, the detection and calibration module 1 includes a detection probe 11, a magnetization device 12 and a calibration roller 13. A calibration roller 13 and a magnetization device 12 are successively arranged along the direction of the strip steel. The magnetization device 12 is provided with a detection probe 11, which converts the magnetic field signal into a voltage signal. As an embodiment of the present invention, the detection probe 11 may be a magnetic sensor.

[0035] Such as image 3 As shown, the sampling control module 2 includes a processing unit, an AD sampling circuit and a storage unit. The AD sampling circuit converts the voltage signal into a digital signal, and the processing unit temporarily stores the digital signal obtained by the AD sampling in the storage unit, and transmits the signal in the storage unit.

[0036] As an embodiment of the present invention, the processing unit is an FPGA board, and the storage unit is a data bu...

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Abstract

The invention discloses a background noise removal device and a background noise removal method for magnetic flux leakage detection and calibration. The device comprises a detection and calibration module, a sampling control module and an effective signal extracting and processing module, wherein the sampling control module is electrically connected with the detection and calibration module and transmits a detection signal to the effective signal extracting and processing module; and the effective signal extracting and processing module is used for preprocessing the collected signal, rejecting gap interference data and separating effective data from original data so as to guarantee that the signal entering a signal processing system is an effective signal in which a periodic interference signal is rejected. According to the background noise removal device, a background magnetic field in a calibration roll used in a flux leakage detection signal is eliminated, noise signals are removed, and effective flux leakage detection signals are extracted, so that the signal to noise ratio of internal defect magnetic flux leakage can be greatly increased, and the defect detection accuracy rate can be increased.

Description

technical field [0001] The invention relates to electromagnetic detection, more specifically, to a background noise removal device and method for calibration of magnetic flux leakage detection. Background technique [0002] Strip internal defects are one of the main quality defects of cold-rolled thin strip products, especially for special-purpose strip products such as DI (Drawn & Ironed) materials and battery case steel. In this kind of strip steel products, if there are internal defects, it will lead to risks such as leakage, which will cause great quality disputes to downstream manufacturers and bring a lot of unnecessary troubles. Therefore, in some cold-rolled strip steel production lines, internal quality defects must be inspected during the production process to prevent defective products from being delivered to users. Since the production of cold-rolled strip products is a high-speed and automated process, there is a sampling risk in the offline inspection of produ...

Claims

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Application Information

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IPC IPC(8): G01N27/82
CPCG01N27/82
Inventor 石桂芬何永辉吴首民梁爽宗德祥杨水山彭铁根
Owner BAOSHAN IRON & STEEL CO LTD
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