Wire Rope Inspection Using Second-Order Differential Waveform Processing
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Solution Overview
Problem
Existing wire rope inspection methods struggle to accurately distinguish between noise inherent in the wire rope and signals indicating abnormal portions, leading to reduced accuracy in detecting damage.
Innovation Solution
A wire rope inspection method that applies a magnetic field, detects changes in magnetic flux, and processes the signals through first and second-order differential processing to generate a composite waveform, allowing for accurate identification of abnormal portions by enhancing the peak visibility of abnormal signals over noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If magnetic flux detection is used to inspect wire rope, then the inspection can be performed, but the accuracy of detecting abnormal portions is reduced due to noise from inherent magnetic characteristic changes
Solution Approach 1:
The detection signal is segmented into positive components and negative components through full-wave rectification and sign separation. This segmentation allows differential processing to be applied selectively to enhance abnormal signals while suppressing noise, thereby improving detection accuracy despite the presence of inherent magnetic characteristic changes.
Solution Approach 2:
A differential processing mechanism is introduced as an intermediary between the raw magnetic flux detection and the final abnormality determination. This intermediary process computes the difference between positive and negative component waveforms, effectively filtering out noise from inherent magnetic characteristic changes while preserving signals from actual abnormalities.
2Measurement precision
If differential processing is applied to enhance abnormal signal detection, then the visibility of abnormal portions improves, but the processing complexity increases
Solution Approach 1:
The inspection process employs periodic excitation of the wire rope and corresponding periodic detection cycles. The magnetic flux is excited periodically, and the detection signal is processed through periodic full-wave rectification and differential computation. This periodic structure simplifies the processing by creating repeating patterns that are easier to analyze and interpret for abnormality detection.
Solution Approach 2:
The signal processing transforms the raw magnetic flux waveform through parameter changes including full-wave rectification (changing signal polarity), differential computation (changing amplitude relationships), and threshold comparison (changing detection criteria). These parameter transformations enhance the visibility of abnormal portions while maintaining a systematic and manageable processing framework.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method effectively enhances the visibility of abnormal signals, enabling accurate differentiation from noise and thereby improving the detection accuracy of abnormal wire rope portions.
Implementation Method 1
a magnetization unit configured to apply a magnetic field in advance to the wire rope W; an excitation unit configured to apply a magnetic flux to the wire rope W
Implementation Method 2
a detection unit configured to acquire a detection signal by detecting a change in a magnetic flux of the wire rope W to which a magnetic field has been applied
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
A wire rope inspection method performs second differential processing on a positive component or a negative component of a first-order differential waveform. Then, the positive component of the second-order differential waveform and an absolute value of the negative component of the second-order differential waveform are added in a state in which portions of the second-order differential waveform indicating the abnormal portion of the wire rope (W) are shifted to overlap with each other. Then, the abnormal portion of the wire rope (W)is determined based on the generated composite waveform.