[1]张毅博,和 丹,王琇峰,等.基于自适应Laplace小波周期字典的滚动轴承弱故障特征提取方法[J].机械与电子,2026,44(07):71-80.
　ZHANG Yibo,HE Dan,WANG Xiufeng,et al.Weak Fault Feature Extraction Method for Rolling Bearings Based on an Adaptive Laplace Wavelet Periodic Dictionary[J].Machinery & Electronics,2026,44(07):71-80.
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基于自适应Laplace小波周期字典的滚动轴承弱故障特征提取方法()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
44
期数:
2026年07期
页码:
71-80
栏目:
智能检测
出版日期:
2026-07-25

文章信息/Info

Title:
Weak Fault Feature Extraction Method for Rolling Bearings Based on an Adaptive Laplace Wavelet Periodic Dictionary
文章编号:
1001-2257(2026)07-0071-10
作者:
张毅博1; 和 丹1; 王琇峰2; 曾志豪3
1.西安工程大学机电工程学院,陕西 西安 710048;
2.西安交通大学机械工程学院,陕西 西安 710049;
3.嘉兴职业技术学院智能制造学院,浙江 嘉兴 314036
Author(s):
ZHANG Yibo1; HE Dan1; WANG Xiufeng2; ZENG Zhihao3
(1.School of Mechanical and Electrical Engineering,Xi’an Polytechnic University,Xi’an 710048,China;
2.School of Mechanical Engineering,Xi’an Jiaotong University,Xi’an 710049,China;
3.School of Intelligent Manufacturing,Jiaxing Vocational and Technical College,Jiaxing 314036,China)
关键词:
故障特征提取; 稀疏表示; Laplace小波周期字典; 参数优化; 分段
Keywords:
fault feature extraction; sparse representation; Laplace wavelet periodic dictionary; parameter optimization; segmentation
分类号:
TH133.3
文献标志码:
A
摘要:
针对滚动轴承早期损伤所激发的微弱故障特征在随机干扰与强背景噪声下被深度掩埋,传统稀疏表示方法对信号周期性感知能力较弱且缺乏参数自适应,导致提取精度不稳定的问题,提出基于参数自适应Laplace小波周期字典结合SCROMP的稀疏表示方法。该方法利用Laplace原子的阻尼震荡衰减特性来匹配冲击特征,利用谐波乘积谱(EHPS)估计信号周期,构建周期原子库,引入周期性加权峭度(PWK)作为评价指标,提出周期加权谱峭度(PWSK)以及改进粒子群优化算法(PWK PSO)对字典输入参数进行自适应选择,最后引入分段的聚类正则化匹配追踪(SCROMP)来提升稀疏编码效率。仿真和试验验证了所提方法的鲁棒性和适应性。
Abstract:
The weak fault features induced by early-stage damage in rolling bearings are often deeply buried under random interference and strong background noise.The traditional sparse representation methods suffer from limited capability to perceive signal periodicity and a lack of parameter adaptivity,resulting in unstable extraction accuracy.To address these issues,a sparse representation method based on an adaptive Laplace wavelet periodic dictionary combined with segmented clustering regularized orthogonal matchingpursuit (SCROMP) is proposed.The damping oscillatory attenuation characteristics of Laplace atoms are exploited to match impulsive responses,while the enhanced harmonic product spectrum (EHPS) is employedto estimate the signal period and construct a periodic atom library.Periodicity-weighted kurtosis (PWK) is introduced as an evaluation metric,and a periodicity weighted spectral kurtosis (PWSK),together with an improved particle swarm optimization algorithm guided by PWK (PWK-PSO),is proposed to adaptively select the input parameters of the dictionary.Finally,SCROMP is adopted to improve the efficiency of sparse coding.Both simulation and experimental investigations verify the robustness and adaptability of the proposed method.

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备注/Memo

备注/Memo:
收稿日期:2026-05-18
基金项目:2025年浙江省教育厅一般科研项目(Y202559481)
作者简介:张毅博 (2002-),男,河南洛阳人,硕士研究生,研究方向为机械故障诊断;和 丹 (1986-),男,陕西宝鸡人,博士,硕士研究生导师,研究方向为机械故障诊断与NVH,通信作者,E-mail:hedan0425@xpu.edu.cn。
更新日期/Last Update: 2026-08-27