Study of pre-processing model of coal-mine hoist wire-rope fatigue damage signal

作     者：Tian Jie Wang Hongyao Zhou Junying Meng Guoying 

作者机构：School of Mechanical Electronic and Information Engineering China University of Mining and Technology 

出 版 物：《International Journal of Mining Science and Technology》 (矿业科学技术学报（英文版）)

年 卷 期：2015年第25卷第6期

页      面：1017-1021页

核心收录：

学科分类：0711[理学-系统科学] 081901[工学-采矿工程] 0819[工学-矿业工程] 07[理学] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 

基　　金：the National Natural Science Foundation of China (No. 51404276) the Fundamental Research Funds for the Central Universities (Nos. 2014QJ01 and 2015QJ04) 

主　　题：Coal mineHoist wire ropeSignal processingFast morphological wavelet filteringalgorithm 

摘      要：In this paper, we propose a pre-processing method for the detection of wire-rope signals. This is necessary because of the lack of processing methods that are currently employed. First, we investigated the one-dimensional discrete morphological and wavelet transform. Then, we developed a pre-processing model that is based on the morphological wavelet-filtering algorithm. We then proposed a modified morphology filtering algorithm. We also designed an experiment platform for wire-rope *** levels of localized flaws(LFs) and damage were formed in the wire-rope specimen. We performed a series of experimental studies, and the results show that the proposed method can effectively filter the drift signal. The signal-to-noise ratio of the new filtering algorithm was over 26 d B. The signal-to-noise ratio of the existing method is less than 15 d B, and the noise-signal ratio of the new filtering algorithm has improved by 73%. Based on our results, the filtering effect of the proposed method is better than that of the present method. This study has great significance and practical value in engineering applications.