Show source-provided references
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.
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 signals
10.1109/20.492885 ↗15. Comparion of electromagnetic techniques for nondestructive inspetion of ferromagnetic tubing
16. Design of inductive sensors for magnetic testing of steel ropes
22. Mini-micro sensor and device for wire rope MFL testing
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 segments
10.1007/s10921-018-0516-y ↗30. A novel sensor to measure the biased pulse magnetic response in steel stay cable for the detection of surface and internal flaws
10.1016/j.sna.2017.11.005 ↗31. Improve the signal to noise ratio and installation convenience of the inductive coil for wire rope nondestructive testing
10.1016/j.ndteint.2017.09.005 ↗33. A new magnetic flux leakage sensor based on open magnetizing method and its on-line automated structural health monitoring methodology
10.1177/1475921715604387 ↗34. Inspection method of cable-stayed bridge using magnetic flux leakage detection: Principle, sensor design, and signal processing
10.1007/s12206-011-1234-x ↗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 ↗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 ↗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 ↗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 ↗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 wires
10.1364/AO.39.000539 ↗53. Configuration optimization of magnetostrictive transducers for longitudinal guided waves inspection in seven-wire steel strands
10.1016/j.ndteint.2010.05.003 ↗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 ↗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 detection
10.1063/1.4940478 ↗60. Wavelet-based active sensing for delamination detection in composite structures
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
69. Quantitative method to detect wire break in wire rope by acoustic emission techniques
71. A novel acoustic emission monitoring method of cross-section precise localization of defects and wire breaking of parallel wire bundle
10.1002/stc.2334 ↗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 inspection
10.1016/j.ndteint.2011.09.015 ↗75. System used to detect steel wire rope based on X-ray digital imaging technology
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 ↗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.