Abstract
The safety inspection of wire ropes is vital to ensure the safety of personnel and equipment. The detection of magnetic flux leakage is one of the most practical methods for evaluating the safety of wire ropes. However, compressing the data for this method has to date proven to be difficult. In this study, the lossless compression approach is adopted for data from defective sections of wire rope and the lossy compression approach is used for data from undamaged sections of wire rope. A lossless compression algorithm is then developed based on analysis of the structure and characteristics of the magnetic flux leakage signal. Here, a predictor, which was designed based on the correlation coefficient characteristics of the magnetic flux leakage signal, facilitates the removal of correlations between data from various sampling points. This reduces the information entropy, thereby enhancing the entropy coding efficiency and, in turn, helping to code the predictive error correctly. The experimental results show that for an information entropy of 4.0343 bits for the original signal, the lossless compression algorithm produces an average code length of 3.3 bits. This constitutes an average bit rate reduction of 0.7343 bits and a large reduction in the average number of bits for each data sample. It was found that the proposed algorithm ensures a high compression ratio. Furthermore, the signal-to-noise ratio of the recovery signal based on the proposed compression algorithm increased by 86%.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 76-82 |
| Number of pages | 7 |
| Journal | Insight: Non-Destructive Testing and Condition Monitoring |
| Volume | 61 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 1 2019 |
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All Science Journal Classification (ASJC) codes
- Mechanics of Materials
- Mechanical Engineering
- Metals and Alloys
- Materials Chemistry
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Novel algorithm for compression of magnetic flux leakage signal data obtained from wire ropes. / Hong-yao, Wang; Jie, Tian; Xin, Lv; Xiao-wei, Li; Guo-ying, Meng; Bilen, Sven G.; Wu, Xinli.
In: Insight: Non-Destructive Testing and Condition Monitoring, Vol. 61, No. 2, 01.02.2019, p. 76-82.Research output: Contribution to journal › Article
TY - JOUR
T1 - Novel algorithm for compression of magnetic flux leakage signal data obtained from wire ropes
AU - Hong-yao, Wang
AU - Jie, Tian
AU - Xin, Lv
AU - Xiao-wei, Li
AU - Guo-ying, Meng
AU - Bilen, Sven G.
AU - Wu, Xinli
PY - 2019/2/1
Y1 - 2019/2/1
N2 - The safety inspection of wire ropes is vital to ensure the safety of personnel and equipment. The detection of magnetic flux leakage is one of the most practical methods for evaluating the safety of wire ropes. However, compressing the data for this method has to date proven to be difficult. In this study, the lossless compression approach is adopted for data from defective sections of wire rope and the lossy compression approach is used for data from undamaged sections of wire rope. A lossless compression algorithm is then developed based on analysis of the structure and characteristics of the magnetic flux leakage signal. Here, a predictor, which was designed based on the correlation coefficient characteristics of the magnetic flux leakage signal, facilitates the removal of correlations between data from various sampling points. This reduces the information entropy, thereby enhancing the entropy coding efficiency and, in turn, helping to code the predictive error correctly. The experimental results show that for an information entropy of 4.0343 bits for the original signal, the lossless compression algorithm produces an average code length of 3.3 bits. This constitutes an average bit rate reduction of 0.7343 bits and a large reduction in the average number of bits for each data sample. It was found that the proposed algorithm ensures a high compression ratio. Furthermore, the signal-to-noise ratio of the recovery signal based on the proposed compression algorithm increased by 86%.
AB - The safety inspection of wire ropes is vital to ensure the safety of personnel and equipment. The detection of magnetic flux leakage is one of the most practical methods for evaluating the safety of wire ropes. However, compressing the data for this method has to date proven to be difficult. In this study, the lossless compression approach is adopted for data from defective sections of wire rope and the lossy compression approach is used for data from undamaged sections of wire rope. A lossless compression algorithm is then developed based on analysis of the structure and characteristics of the magnetic flux leakage signal. Here, a predictor, which was designed based on the correlation coefficient characteristics of the magnetic flux leakage signal, facilitates the removal of correlations between data from various sampling points. This reduces the information entropy, thereby enhancing the entropy coding efficiency and, in turn, helping to code the predictive error correctly. The experimental results show that for an information entropy of 4.0343 bits for the original signal, the lossless compression algorithm produces an average code length of 3.3 bits. This constitutes an average bit rate reduction of 0.7343 bits and a large reduction in the average number of bits for each data sample. It was found that the proposed algorithm ensures a high compression ratio. Furthermore, the signal-to-noise ratio of the recovery signal based on the proposed compression algorithm increased by 86%.
UR - http://www.scopus.com/inward/record.url?scp=85061996943&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061996943&partnerID=8YFLogxK
U2 - 10.1784/insi.2019.61.2.76
DO - 10.1784/insi.2019.61.2.76
M3 - Article
AN - SCOPUS:85061996943
VL - 61
SP - 76
EP - 82
JO - Insight: Non-Destructive Testing and Condition Monitoring
JF - Insight: Non-Destructive Testing and Condition Monitoring
SN - 1354-2575
IS - 2
ER -