Hoist Wire Rope Fault Detection System Based on Wavelet Threshold and SVD Denoising

Author:

Li Feiyu1ORCID,Sun Runze1ORCID,Fu Wen1ORCID,Qiao Xinyuan1ORCID

Affiliation:

1. Wuhan University of Technology, China

Publisher

ACM

Reference13 articles.

1. Bearing fault feature extraction based on SVD and SSA-VMD noise reduction [J];Zhikai Xing;Thermal Power Engineering

2. Analysis of image denoising algorithm based on newly constructed wavelet threshold function [J];Rongzhen Shi;Electronic Technology,2022

3. Zhong Dian , Wu Jie , Yu Teng , Wang Cui , Tang Peiqing . Improved wavelet threshold image denoising method [J]. Scientific and technological Innovation , 2022 (26): 84-87. Zhong Dian, Wu Jie, Yu Teng, Wang Cui, Tang Peiqing. Improved wavelet threshold image denoising method [J]. Scientific and technological Innovation, 2022 (26): 84-87.

4. Zhou Yanfeng , Li Ningzhou , Wei Xiaojuan . Research on optimal adhesion control of locomotive based on SVD-UKF [J]. Railway rolling stock , 2022 ,542 (04): 17-23. Zhou Yanfeng, Li Ningzhou, Wei Xiaojuan. Research on optimal adhesion control of locomotive based on SVD-UKF [J]. Railway rolling stock, 2022,542 (04): 17-23.

5. Zhao Wen , Xue Tao , Fan Chenghua , Yang Yuming , Mao Tsinghua . Study on on-line detection method of wire rope damage in mine hoist [J]. Mining Machinery , 2022 pc50 (06): 22-26.DOI:10.16816/j.cnki.ksjx.2022.06.005. 10.16816/j.cnki.ksjx.2022.06.005 Zhao Wen, Xue Tao, Fan Chenghua, Yang Yuming, Mao Tsinghua. Study on on-line detection method of wire rope damage in mine hoist [J]. Mining Machinery, 2022pc50 (06): 22-26.DOI:10.16816/j.cnki.ksjx.2022.06.005.

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