|本期目录/Table of Contents|

[1]韩芝星,蔡晓龙.基于小波变换的提升机闸瓦间隙故障信号诊断[J].工业仪表与自动化装置,2021,(03):115-118.[doi:1000-0682(2021)03-0000-00]
 HAN Zhixing,CAI Xiaolong.Hoist brake shoe signal gap fault diagnosis based on wavelet[J].Industrial Instrumentation & Automation,2021,(03):115-118.[doi:1000-0682(2021)03-0000-00]
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基于小波变换的提升机闸瓦间隙故障信号诊断

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2021年03期
页码:
115-118
栏目:
出版日期:
2021-06-15

文章信息/Info

Title:
Hoist brake shoe signal gap fault diagnosis based on wavelet
作者:
韩芝星1蔡晓龙2
1.山西职业技术学院 电气自动化工程系,山西 太原 030006;
2.国网山西省电力公司检修公司,山西 太原 030032
Author(s):
HAN Zhixing1CAI Xiaolong2
1.Shanxi vocational and Technical College,Electrical and Automation Engineering Department,Shanxi Taiyuan 030006,China;
2. National Grid Maintenance branch of Shanxi province electric power company, Shanxi Taiyuan 030032,China
关键词:
小波分析故障诊断小波变换
Keywords:
wavelet analysis fault diagnosis wavelet transform
分类号:
TD63+3
DOI:
1000-0682(2021)03-0000-00
文献标志码:
A
摘要:
为了提高闸瓦磨损情况、闸瓦间隙变化的故障识别和诊断效率,从而使设备状态满足煤矿安全规程的各项具体要求。该文选用Daubechies5小波作为小波基,对提升机闸瓦间隙信号进行多分辨率分析,将突变信号进行多尺度分解,通过分解后的信号来确定突变信号的位置,通过分解后的3层高频重构图形可以具体清楚地确定突变信号的位置,实现提升机闸瓦间隙故障的诊断,对故障信号的位置进行较好地判断。
Abstract:
In order to improve the efficiency of fault identification and diagnosis of wear degree and clearance change of brake shoe, so as to meet the requirements of coal mine safety regulations. In this paper, daubechies5 wavelet is selected as the wavelet base to analyze the brake shoe clearance signal of hoist in multi-resolution, decompose the sudden change signal in multi-scale, determine the position of the sudden change signal through the decomposed signal, and clearly determine the position of the sudden change signal through the decomposed three-layer high-frequency reconstruction graph, so as to realize the fault diagnosis of the brake shoe clearance of hoist and the position of the fault signal Set to make a better judgment.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2020-06-06
作者简介:韩芝星(1987),女,山西介休人,讲师/硕士研究生,研究方向为智能仪表与自动化装置方面。
更新日期/Last Update: 1900-01-01