Page 158 - 《振动工程学报》2025年第8期
P. 158

1798                               振   动   工   程   学   报                               第 38 卷

             [13] 李川, 朱荣荣, 杨帅 . 基于多指标模糊融合的滚动轴承                       YANG  Xinmin,  GUO  Yu,  TIAN  Tian,  et  al.  Early
                   诊断的最优频带解调方法[J]. 机械工程学报, 2015,                     fault detection index of rolling bearing based on integrat‑
                   51(7): 107-114.                                   ed  envelope  spectrum[J].  Journal  of  Vibration  and
                   LI Chuan, ZHU Rongrong, YANG Shuai. Optimal fre‑  Shock, 2023, 42(10): 67-73.
                   quency  band  demodulation  for  fault  diagnosis  of  rolling   [19] 刘永强,杨绍普,廖英英,等 . 一种自适应共振解调方法
                   element bearings based on fuzzy fusion of multiple crite‑  及其在滚动轴承早期故障诊断中的应用[J]. 振动工程
                   ria[J]. Journal of Mechanical Engineering, 2015, 51(7):   学报,2016,29(2): 366-370.
                   107-114.                                          LIU  Yongqiang,  YANG  Shaopu,  LIAO  Yingying,  et
             [14] YAN X A, JIA M P. Bearing fault diagnosis via a pa‑  al.  The  adaptive  resonant  demodulation  method  and  its
                   rameter-optimized feature mode decomposition[J]. Mea‑  application  in  failure  diagnosis  of  rolling  bearing  early
                   surement, 2022, 203: 112016.                      faults[J].  Journal  of  Vibration  Engineering,2016,29
             [15] 王鹏程, 邓艾东, 凌峰,等 . 基于 PSO-SEBD 的风电机                 (2): 366-370.
                   组滚动轴承故障诊断[J]. 振动与冲击, 2023, 42(7):
                                                                [20] MIAO Y H, ZHAO M, LIN J, et al. Application of an
                   281-288.
                                                                     improved  maximum  correlated  kurtosis  deconvolution
                   WANG  Pengcheng,  DENG  Aidong,  LING  Feng,  et
                                                                     method  for  fault  diagnosis  of  rolling  element  bearings
                   al. Fault diagnosis of rolling bearing of wind turbine gen‑
                                                                    [J]. Mechanical Systems and Signal Processing,2017,
                   erator  based  on  PSO-SEBD[J].  Journal  of  Vibration
                                                                     92: 173-195.
                   and Shock, 2023, 42(7): 281-288.
                                                                [21] 刘湘楠,赵学智,上官文斌 . 强背景噪声振动信号中滚
             [16] 张俊, 张建群, 钟敏,等 . 基于 PSO-VMD-MCKD 方法
                                                                     动轴承故障冲击特征提取[J]. 振动工程学报,2021,34
                   的 风 机 轴 承 微 弱 故 障 诊 断[J]. 振 动 、测 试 与 诊 断 ,
                                                                    (1): 202-210.
                   2020, 40(2): 287-296.
                                                                     LIU Xiangnan, ZHAO Xuezhi, SHANGGUAN Wen‑
                   ZHANG  Jun,  ZHANG  Jianqun,  ZHONG  Min,  et  al.
                                                                     bin. The impact features extraction of rolling bearing un‑
                   PSO-VMD-MCKD  based  fault  diagnosis  for  incipient
                                                                     der  strong  background  noise[J].  Journal  of  Vibration
                   damage in wind turbine rolling bearing[J]. Journal of Vi‑
                   bration,  Measurement  &  Diagnosis,  2020,  40(2):  Engineering, 2021, 34(1): 202-210.
                   287-296.                                     [22] LIN J, ZUO M J, FYFE K R. Mechanical fault detec‑
             [17] 鄢小安,贾民平 . 基于参数自适应特征模态分解的滚动                         tion based on the wavelet de-noising technique[J]. Jour‑
                   轴承故障诊断方法[J]. 仪器仪表学报, 2022, 43(10):                nal  of  Vibration  and  Acoustics:  Transactions  of  the
                   252-259.                                          ASME, 2004, 126(1): 9-16.
                   YAN Xiaoan, JIA Minping. A rolling bearing fault diag‑  [23] DENG M Q, DENG A D, ZHU J, et al. Resonance-
                   nosis method based on parameter-adaptive feature mode   based  bandwidth  Fourier  decomposition  method  for
                   decomposition[J].  Chinese  Journal  of  Scientific  Instru‑  gearbox  fault  diagnosis[J].  Measurement  Science  and
                   ment, 2022, 43(10): 252-259.                      Technology,2021,32(3): 035003.
             [18] 杨新敏, 郭瑜, 田田,等 . 基于集成包络谱的滚动轴承
                   早 期 故 障 检 测 指 标[J]. 振 动 与 冲 击 , 2023, 42(10):  通信作者:王  红(1968—),男,硕士,教授。
                   67-73.                                               E-mail: wh@mail.lzjtu.cn
   153   154   155   156   157   158   159   160   161   162   163