[1]钟荣锋.石油钻井用滚动轴承早期故障诊断方法研究[J].工业仪表与自动化装置,2026,(02):77-83.[doi:10.19950/j.cnki.CN61-1121/TH.2026.02.015]
　ZHONG Rongfeng.Research on early fault diagnosis method of rolling bearings foroil drilling[J].Industrial Instrumentation & Automation,2026,(02):77-83.[doi:10.19950/j.cnki.CN61-1121/TH.2026.02.015]
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石油钻井用滚动轴承早期故障诊断方法研究()

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

卷:
期数:
2026年02期
页码:
77-83
栏目:
出版日期:
2026-04-15

文章信息/Info

Title:
Research on early fault diagnosis method of rolling bearings foroil drilling
文章编号:
1000-0682（2026）02-0077-07
作者:
钟荣锋
中海油田服务股份有限公司,天津 300452
Author(s):
ZHONG Rongfeng
China Oilfield Services Limited, Tianjian, 300452,China
关键词:
最小噪声幅值解卷积; Teager能量算子; 早期故障; 滚动轴承
Keywords:
Minimum Noise Amplitude Deconvolution; Teager energy operator; early failure; rolling bearing
分类号:
TP206
DOI:
10.19950/j.cnki.CN61-1121/TH.2026.02.015
文献标志码:
A
摘要:
滚动轴承早期故障产生的重复性冲击较为微弱，在实际工作中易于产生一些干扰噪声，重复性冲击信号易于淹没在干扰噪声中，这些都加大了故障诊断的难度。为处理这一问题，提出了基于最小噪声幅值解卷积和Teager能量算子相结合的滚动轴承早期故障诊断方法。首先通过最小噪声幅值解卷积来减弱噪声干扰，增强重复性冲击，然后通过Teager能量算子对最小噪声幅值解卷积处理后的信号的重复性冲击成分增强，再对其做包络谱分析，最后依据滚动轴承的故障特征频率判断出滚动轴承的故障类别。通过仿真信号和实验信号分析可知，基于该方法可以较好地诊断出故障类别。
Abstract:
The repetitive impact generated by early faults of rolling bearings is relatively weak, and mechanical equipment is prone to generate some interference noise in actual work, and the repetitive impact signals are easily submerged in the interference noise, which makes fault diagnosis difficult.To solve this problem, the early fault diagnosis method for rolling bearings combining minimum noise amplitude deconvolution (MNAD) and Teager energy operator was proposed.Firstly, MNAD is used to weaken the noise interference and highlight the repetitive impact, then the impact component of the signal processed by MNAD is enhanced with the Teager energy operator, and then the envelope spectrum analysis is made, and finally the fault type of the rolling bearing is judged by using the fault characteristic frequency of the rolling.the simulation signal and experimental signal test analysis show that this method can better diagnose the fault category.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2025-10-09项目基金：“十四五”国家重点研发计划(2024YFB3409300)第一作者：钟荣锋（1978—），男，江西赣州人，本科，工程师，?研究方向为数字化技术与钻井业务的深度融合。E-mail：zhongrf2@126.com
更新日期/Last Update: 1900-01-01