| HUANG Jie-xian,YANG Dong-tao,OUYANG Yu-ping,HONG Tian-sheng.Corrosion and Wear Defects Recognition of Wire Rope[J],45(10):187-192 |
| Corrosion and Wear Defects Recognition of Wire Rope |
| Received:March 18, 2016 Revised:October 20, 2016 |
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| DOI：10.16490/j.cnki.issn.1001-3660.2016.10.029 |
| KeyWord:wire-rope defect recognition entropy grayscale distribution gray fluctuation |
| Author | Institution |
| HUANG Jie-xian |
1.School of Electronic Information Engineering, Jiaying University, Meizhou , China; 2.Guangdong Zhensheng Science Technology Co., Ltd, Meizhou , China |
| YANG Dong-tao |
School of Electronic Information Engineering, Jiaying University, Meizhou , China |
| OUYANG Yu-ping |
1.Guangdong Zhensheng Science Technology Co., Ltd, Meizhou , China;2. School of Mechanical and Electrical Engineering, East China Jiaotong University, Nanchang , China |
| HONG Tian-sheng |
College of Engineering, South China Agricultural University, Guangzhou , China |
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| Abstract: |
| The work aims to realize efficient inspection of wear and corrosion defects present in wire ropes by developing a high-performance and low-cost image processing technology-based defect rocognition method of wire ropes. Gray area features of the wire ropes were firstly extracted by neighborhood average algorithm. Then a entropy-based statistical function was established to describe and quantize grayscale distribution features and grayscale fluctuation features. On this basis, no-defective product, corrosion defect and wear defect samples were selected to quantize and extract regional grayscale, grayscale distribution and grayscale fluctuation features. The distribution of different types of sample in 3-dimensional characteristic space was observed to have obvious distinguishability. Based on this feature, corrosion and wear defects were detected and recognized by setting 3-dimensional characteristic threshold. The experimental result demonstrates that the image processing-basedinspecting method proposed in this paper can recognize corrosion and wear defects efficiently and accurately and is of both academic value and practical meanings, hence it is very fit for real time inspection. |
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