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[15] MIAO Y H, ZHAO M, LIN J, et al. Application of an [20] YAN X A, ZHANG W, JIA M P. A bearing fault fea‑
improved maximum correlated kurtosis deconvolution ture extraction method based on optimized singular spec‑
method for fault diagnosis of rolling element bearings trum decomposition and linear predictor[J]. Measure‑
[J]. Mechanical Systems and Signal Processing, 2017, ment Science and Technology, 2021, 32(11): 115023.
92: 173‑195. [21] 刘文朋, 廖英英, 杨绍普, 等 . 一种基于多点峭度谱和
[16] 高锐文, 胡定玉, 师蔚, 等 . 基于最大相关峭度解卷积 最大相关峭度解卷积的滚动轴承故障诊断方法[J]. 振
和谱峭度的滚动轴承声信号故障特征增强[J]. 噪声与 动与冲击, 2019, 38(2): 146‑151.
振动控制, 2022, 42(2): 102‑107. LIU Wenpeng, LIAO Yingying, YANG Shaopu, et
GAO Ruiwen, HU Dingyu, SHI Wei, et al. Enhance‑ al. Fault diagnosis of rolling bearings based on multi‑
ment of fault characteristics of rolling bearing acoustic point kurtosis spectrums and the maximum correlated
signals based on maximal correlation kurtosis deconvolu‑ kurtosis deconvolution method[J]. Journal of Vibration
tion and spectrum kurtosis[J]. Noise and Vibration Con‑ and Shock, 2019, 38(2): 146‑151.
trol, 2022, 42(2): 102‑107. [22] 毛欢, 魏志刚, 刘迎松, 等 . 基于 VMD‑PE‑MCKD 低
[17] 胡爱军, 赵军 . 基于自适应最大相关峭度解卷积的滚动轴 速重载滚动轴承故障特征提取[J]. 噪声与振动控制,
承多故障诊断[J]. 振动与冲击, 2019, 38(22): 171‑177. 2022, 42(4): 152‑157.
HU Aijun, ZHAO Jun. Diagnosis of multiple faults in MAO Huan, WEI Zhigang, LIU Yingsong, et al.
rolling bearings based on adaptive maximum correlated Fault feature extraction of low‑speed heavy‑duty rolling
kurtosis deconvolution[J]. Journal of Vibration and bearings based on VMD‑PE‑MCKD[J]. Noise and Vi‑
Shock, 2019, 38(22): 171‑177. bration Control, 2022, 42(4): 152‑157.
[18] 唐贵基, 王晓龙 . 最大相关峭度解卷积结合稀疏编码 [23] 万书亭, 张雄, 豆龙江 . 强噪源干扰下的滚动轴承复
收 缩 的 齿 轮 微 弱 故 障 特 征 提 取[J]. 振 动 工 程 学 报 , 合 故 障 分 离 方 法 研 究[J]. 中 南 大 学 学 报(自 然 科 学
2015, 28(3): 478‑486. 版), 2018, 49(8): 1950‑1959.
TANG Guiji, WANG Xiaolong. Weak feature extrac‑ WAN Shuting, ZHANG Xiong, DOU Longjiang. Sep‑
tion of gear fault based on maximum correlated kurtosis aration of composite rolling bearings fault features with
deconvolution and sparse code shrinkage[J]. Journal of strong noise interference[J]. Journal of Central South
Vibration Engineering, 2015, 28(3): 478‑486. University (Science and Technology), 2018, 49(8):
[19] 夏均忠, 赵磊, 白云川, 等 . 基于 MCKD 和 VMD 的滚 1950‑1959.
动轴承微弱故障特征提取[J]. 振动与冲击, 2017, 36
第一作者:姚容华(1998—),男,硕士。
(20): 78‑83.
E‑mail: 826438345@qq.com
XIA Junzhong, ZHAO Lei, BAI Yunchuan, et al. Fea‑
通信作者: 周 俊(1985―),女,博士,讲师。
ture extraction for rolling element bearing weak fault
E‑mail: zhoujun@kust.edu.cn
based on MCKD and VMD[J]. Journal of Vibration
and Shock, 2017, 36(20): 78‑83.

