journal article·2019-07-09Open access

A Review of Non-Destructive Damage Detection Methods for Steel Wire Ropes

Ping Zhou, Gongbo Zhou, Zhencai Zhu, Zhenzhi He, Xin Ding, Chaoquan Tang

Applied Sciences· Volume 9· Issue 13

Abstract

As an important load-bearing component, steel wire ropes (WRs) are widely used in complex systems such as mine hoists, cranes, ropeways, elevators, oil rigs, and cable-stayed bridges. Non-destructive damage detection for WRs is an important way to assess damage states to guarantee WR’s reliability and safety. With intelligent sensors, signal processing, and pattern recognition technology developing rapidly, this field has made great progress. However, there is a lack of a systematic review on technologies or methods introduced and employed, as well as research summaries and prospects in recent years. In order to bridge this gap, and to promote the development of non-destructive detection technology for WRs, we present an overview of non-destructive damage detection research of WRs and discuss the core issues on this topic in this paper. First, the WRs’ damage type is introduced, and its causes are explained. Then, we summarize several main non-destructive detection methods for WRs, including electromagnetic detection method, optical detection method, ultrasonic guided wave detection method, and acoustic emission detection method. Finally, a prospect is put forward. Based on the review of papers, we provide insight about the future of the non-destructive damage detection methods for steel WRs to a certain extent.
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Research context

OpenAlex topics: Non-Destructive Testing Techniques · Mechanical stress and fatigue analysis · Machine Fault Diagnosis Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China

School of Mechanical and Electrical Engineering, Jiangsu Normal University, Xuzhou 221116, China

Funding

the National Key Research and Development Program of China · the Postgraduate Research & Practice Innovation Program of Jiangsu Province · the Jiangsu Provincial Outstanding Youth Fund of China · the National Natural Science Foundation of China · the Project Funded of the Priority Academic Program Development of Jiangsu Higher Education Institutions

References (83)

Show source-provided references
1. Steel wire ropes failure analysis: Experimental study10.1016/j.engfailanal.2018.04.019 ↗
2. Wire rope fault detection in a hoisting winch system by motor torque and current signature analysis10.1109/TIE.2011.2106095 ↗
3. The friction and wear properties of steel wire rope sliding against itself under impact load10.1016/j.wear.2018.01.010 ↗
4. Measurement of tight in steel ropes by a mean of thermovision10.1016/j.measurement.2013.12.026 ↗
5. An analysis on the research status quo and prospects of defect detection methods of wire ropes
6. Čereška, A., Zavadskas, E.K., Bucinskas, V., Podvezko, V., and Sutinys, E. (2018). Analysis of steel wire rope diagnostic data applying multi-criteria methods. Appl. Sci., 8.10.3390/app8020260 ↗
7. Zhang, J.W., Tan, X.J., and Zheng, P.B. (2017). Non-destructive detection of wire rope discontinuities from residual magnetic field images using the hilbert-huang transform and compressed sensing. Sensors, 17.10.3390/s17030608 ↗
8. Tan, J.W. (2009). Principle and Technology of Steel Wire Rope Safety Detection, Science Press.
9. Yang, S.Z., Kang, Y.H., Chen, H.G., and Yuan, J.M. (2017). Electromagnetic Nondestructive Testing of Wire Ropes, Machinery Industry Press.
10. A transducer made up of fluxgate sensors for testing wire rope defects10.1109/19.989914 ↗
11. Tan, X.J. (2018). Research on Non-Destructive Testing of Ferromagnetic Components with Weak Magnetic Imaging: In a Case of Wire Rope. [Master’s Thesis, Henan University of Science and Technology].
12. Optimization of the flux distribution in magnetic flux leakage testing
13. Magnetic flux leakage of typical defect of wire rope based on FE simulation
14. Calculation of the effects of anisotropy on magnetic flux leakage detector signals10.1109/20.492885 ↗
15. Comparion of electromagnetic techniques for nondestructive inspetion of ferromagnetic tubing
16. Design of inductive sensors for magnetic testing of steel ropes
17. Simulation and analysis of 3-D magnetic flux leakage10.1109/TMAG.2008.2011896 ↗
18. An improved dipole model of 3-D magnetic flux leakage10.1109/TMAG.2015.2475429 ↗
19. Magnetic mechanisms of magnetic flux leakage nondestructive testing10.1063/1.4828556 ↗
20. The effect of variable tensile stress on the MFL signal response of defective wire ropes10.1784/insi.2016.58.3.135 ↗
21. Discontinuity inspection in pipelines: A comparison review10.1016/j.measurement.2017.07.058 ↗
22. Mini-micro sensor and device for wire rope MFL testing
23. Research on detection device for broken wires of coal mine-hoist cable10.1016/S1006-1266(07)60109-6 ↗
24. Design of modified electromagnetic main-flux for steel wire rope inspection10.1016/j.ndteint.2007.10.006 ↗
25. Key technique of a detection sensor for coal mine wire ropes10.1063/1.3246436 ↗
26. Mechanism study of AC-MFL method using U-shape inducer
27. Yan, X.L., Zhang, D.L., Pan, S.M., Zhao, E.C., and Gao, W. (2017). Online nondestructive testing for fine steel wire rope in electromagnetic interference environment. NDT E Int., 92.10.1016/j.ndteint.2017.07.017 ↗
28. Non-destructive evaluation and development of a new wire rope tester using parallely magnetized NdFeB magnet segments10.1007/s10921-018-0516-y ↗
29. An opening electric-mfl detector for the ndt of in-service mine hoist wire10.1109/JSEN.2014.2307760 ↗
30. A novel sensor to measure the biased pulse magnetic response in steel stay cable for the detection of surface and internal flaws10.1016/j.sna.2017.11.005 ↗
31. Improve the signal to noise ratio and installation convenience of the inductive coil for wire rope nondestructive testing10.1016/j.ndteint.2017.09.005 ↗
32. Possibilities of failure analysis for steel cord conveyor belts using knowledge obtained from non-destructive testing of steel ropes10.1016/j.engfailanal.2016.05.026 ↗
33. A new magnetic flux leakage sensor based on open magnetizing method and its on-line automated structural health monitoring methodology10.1177/1475921715604387 ↗
34. Inspection method of cable-stayed bridge using magnetic flux leakage detection: Principle, sensor design, and signal processing10.1007/s12206-011-1234-x ↗
35. A sensor model for defect detection in mine hoisting wire ropes based on magnetic focusing10.1784/insi.2017.59.3.143 ↗
36. Kim, J.W., and Park, S. (2018). Magnetic flux leakage sensing and artificial neural network pattern recognition-based automated damage detection and quantification for wire rope non-destructive evaluation. Sensors, 18.10.3390/s18010109 ↗
37. Research on magnetic excitation model of magnetic flux leakage for coal mine hoisting wire rope10.1177/1687814015618626 ↗
38. Numerical simulation of magnetic excitation based on a permanent magnet co-directions array sensor10.1784/insi.2018.60.10.568 ↗
39. GMR-based magnetic flux leakage technique for condition monitoring of steel track rope10.1784/insi.2011.53.7.377 ↗
40. Liu, X.C., Wang, Y.J., Wu, B., Gao, Z., and He, C.F. (2016). Design of tunnel magnetoresistive-based circular MFL sensor array for the detection of flaws in steel wire rope. J. Sens., 2016.10.1155/2016/6198065 ↗
41. Lu, T., and Zhang, L.H. (2007). Wire Rope Inspector, China University of Mining and Technology Press.
42. Zhou, P., Zhou, G.B., He, Z.Z., Tang, C.Q., Zhu, Z.C., and Li, W. (2019). A novel texture-based damage detection method for wire ropes. Measurement, under review.10.1016/j.measurement.2019.106954 ↗
43. A vision-based technique for lay length measurement of metallic wire ropes10.1109/TIM.2009.2012953 ↗
44. Yaman, O., and Karakose, M. (2017, January 16–17). Auto-correlation based elevator rope monitoring and fault detection approach with image processing. Proceedings of the 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Turkey.10.1109/IDAP.2017.8090176 ↗
45. Texture segmentation and boundary recognition of wire rope images in complicated background10.3788/gzxb20103909.1666 ↗
46. Platzer, E.S., Nägele, J., Wehking, K.H., and Denzler, J. (2009, January 9–11). HMM-based defect localization in wire ropes–a new approach to unusual subsequence recognition. Pattern Recognition. Proceedings of the Dagm Symposium, Jena, Germany.10.1007/978-3-642-03798-6_45 ↗
47. Platzer, E.S., Wehking, K.H., and Denzler, J. (2009, January 5–8). On the suitability of different features for anomaly detection in wire ropes. Proceedings of the International Conference on Computer Vision, Imaging and Computer Graphics, Lisboa, Portugal.10.1007/978-3-642-11840-1_22 ↗
48. Enhanced anomaly detection in wire ropes by combining structure and appearance10.1016/j.patrec.2013.01.025 ↗
49. Wacker, E.S., and Denzler, J. (December, January 29). An analysis-by-synthesis approach to rope condition monitoring. Proceedings of the International Symposium on Visual Computing, Las Vegas, NV, USA.
50. Optical technique for the automatic detection and measurement of surface defects on thin metallic wires10.1364/AO.39.000539 ↗
51. Non-destructive evaluation of seven-wire strands using ultrasonic guided waves10.1080/19648189.2011.9693342 ↗
52. Ultrasonic guided wave-based testing technique for inspection of multi-wire rope structures10.1016/j.ndteint.2013.11.005 ↗
53. Configuration optimization of magnetostrictive transducers for longitudinal guided waves inspection in seven-wire steel strands10.1016/j.ndteint.2010.05.003 ↗
54. Investigation of elastic modes propagating in multi-wire helical waveguides10.1016/j.jsv.2009.11.021 ↗
55. Vanniamparambil, P.A., Khan, F., Hazeli, K., Cuadra, J., Schwartz, E., Kontsos, A., and Bartoli, I. (2013). Novel optico-acoustic nondestructive testing for wire break detection in cables. Struct. Control Health Monit., 1319–1350.10.1002/stc.1539 ↗
56. Detecting broken-wire flaws at multiple locations in the same wire of prestressing strands using guided waves10.1016/j.ultras.2012.05.003 ↗
57. Raisutis, R., Kazys, R., Mazeika, L., Samaitis, V., and Zukauskas, E. (2016). Propagation of ultrasonic guided waves in composite multi-wire ropes. Materials, 9.10.3390/ma9060451 ↗
58. Advanced signal processing methods applied to guided waves for wire rope defect detection10.1063/1.4940478 ↗
59. Fatigue damage monitoring and evolution for basalt fiber reinforced polymer materials10.12989/sss.2014.14.3.307 ↗
60. Wavelet-based active sensing for delamination detection in composite structures
61. Acoustic emission from wire ropes during proof load and fatigue testing10.1016/j.ndteint.2006.07.005 ↗
62. Bai, W., Chai, M., Li, L., Li, Y., and Duan, Q. (2013). Acoustic emission from elevator wire ropes during tensile testing. Advances in Acoustic Emission Technology: Proceedings of the World Conference on Acoustic Emission-2013, Springer.10.1007/978-1-4939-1239-1_20 ↗
63. Acoustic emission of steel wire ropes
64. Evaluation of wire ropes by AE techniques
65. Acoustic detection of wire rope failure
66. Wire break detection during tensile fatigue testing of 40 mm wire rope
67. Frequency analysis of the signals generated by the failure of constituent wires of a wire rope
68. A review of the acoustic-emission monitoring of wire rope10.1016/S0029-8018(96)00052-2 ↗
69. Quantitative method to detect wire break in wire rope by acoustic emission techniques
70. A new method for waveform analysis for estimating AE wave arrival times using wavelet decomposition10.1016/j.ndteint.2003.10.006 ↗
71. A novel acoustic emission monitoring method of cross-section precise localization of defects and wire breaking of parallel wire bundle10.1002/stc.2334 ↗
72. Estimation and warning of fatigue damage of FRP stay cables based on acoustic emission techniques and fractal theory10.1111/j.1467-8667.2010.00713.x ↗
73. Non-destructive and quantitative detection method for broken wire rope
74. Nondestructive and quantitative evaluation of wire rope based on radial basis function neural network using eddy current inspection10.1016/j.ndteint.2011.09.015 ↗
75. System used to detect steel wire rope based on X-ray digital imaging technology
76. Use of gamma rays in the inspection of steel wire ropes in suspension bridges10.1016/j.ndteint.2015.06.006 ↗
77. The state-of-art of quantitative nondestructive testing of wire ropes
78. Discussion on the existing problems of steel wire rope nondestructive testing
79. Zhou, P., Zhou, G.B., Zhu, Z.C., Tang, C.Q., He, Z.Z., Li, W., and Jiang, F. (2018). Health monitoring for balancing tail ropes of a hoisting system using a convolutional neural network. Appl. Sci., 8.10.3390/app8081346 ↗
80. Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis10.1016/j.measurement.2016.07.054 ↗
81. Deep learning and its applications to machine health monitoring10.1016/j.ymssp.2018.05.050 ↗
82. Guo, X.J., Shen, C.Q., and Chen, L. (2017). Deep fault recognizer: An integrated model to denoise and extract features for fault diagnosis in rotating machinery. Appl. Sci., 7.10.3390/app7010041 ↗
83. Zhou, P., Zhou, G.B., He, Z.Z., Zhu, Z.C., Tang, C.Q., and Li, W. (2019). A novel deep learning-based damage monitoring and diagnosis method for wire ropes. Mech. Syst. Signal Process., under review.