Bayesian Modelling and Uncertainty Analysis for Wire Rope Defect Signal Recognition
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8048-2_184
Reference47 articles.
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3. Neslušan M, Bahleda F, Trojan K, Pitoňák M, Zgútová K (2020) Barkhausen noise emission in over-stressed steel wires. J Magn Magn Mater 513:167134
4. Yao Y, Li G, Zhang X, Teng X, Huang M (2020) Research on wavelet denoising method based on soft threshold in wire rope damage detection. In: 2020 IEEE 8th international conference on computer science and network technology (ICCSNT). IEEE, pp 165–170
5. Liu S, Sun Y, Jiang X, Kang Y (2020) A review of wire rope detection methods, sensors and signal processing techniques. J Nondestr Eval 39:1–18
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