机械设计与研究 ›› 2019, Vol. 35 ›› Issue (01): 100-104.doi: 10.13952/j.cnki.jofmdr.a4826
基于总体平均经验模态分解与1.5维谱的滚动轴承故障诊断方法
熊国良;毛志德;张龙;崔路瑶;
- 华东交通大学机电与车辆工程学院;
-
出版日期:2019-02-20发布日期:2019-02-20
-
Online:2019-02-20Published:2019-02-20
摘要： 针对滚动轴承早期故障冲击信号微弱,强噪声干扰下故障特征难以提取等问题,提出了基于总体平均经验模态分解(EEMD)与1.5维谱的滚动轴承故障诊断方法。由于经验模态分解(EMD)在对信号进行分解时容易产生模态混叠现象,引入总体平均经验模态分解(EEMD)。首先将最小熵解卷积(MED)作为前置滤波器,对原始信号进行降噪处理,再利用1.5维谱对经过EEMD分解得到的较为敏感的本征模态函数进行分析,得到各个分量的1.5维包络谱,最终判断轴承是否存在故障。通过仿真信号及实验信号验证了文中所论方法的可行性和有效性。
引用本文
熊国良;毛志德;张龙;崔路瑶;. 基于总体平均经验模态分解与1.5维谱的滚动轴承故障诊断方法[J]. 机械设计与研究, 2019, 35(01): 100-104.
| [1] | 许勇, 蔡云泽, 宋林. 基于数据驱动的核电设备状态评估研究综述[J]. 上海交通大学学报, 2022, 56(3): 267-278. |
| [2] | 刘秀丽, 徐小力. 基于特征金字塔卷积循环神经网络的故障诊断方法[J]. 上海交通大学学报, 2022, 56(2): 182-190. |
| [3] | 马航宇, 周笛, 卫宇杰, 吴伟, 潘尔顺. 变工况下基于自适应深度置信网络的轴承智能故障诊断[J]. 上海交通大学学报, 2022, 56(10): 1368-1377. |
| [4] | MA Qunsheng (马群圣), CEN Xingxing (岑星星), YUAN Junyi (袁骏毅), HOU Xumin (侯旭敏). Word Embedding Bootstrapped Deep Active Learning Method to Information Extraction on Chinese Electronic Medical Record[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(4): 494-502. |
| [5] | XU Jiangchang (许江长), HE Shamin (何莎敏), YU Dedong (于德栋), WU Yiqun (吴轶群), CHEN Xiaojun, (陈晓军). Automatic Segmentation Method for Cone-Beam Computed Tomography Image of the Bone Graft Region within Maxillary Sinus Based on the Atrous Spatial Pyramid Convolution Network[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(3): 298-305. |
| [6] | LI Xiaomin(李小敏), DAI Xiaoqing (戴晓庆), GUO Jiuhong (郭久红), QU Yang (曲扬), WU Bing (吴兵), LIU Siyu (柳思宇), WAN Daqian (万大千), AI Songtao(艾松涛). Application of 3D Printing and WebGL-Based 3D Visualisation Technology in Imaging Teaching of Ankle Joints[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(3): 319-324. |
| [7] | ZHANG Yue (张月), LIU Shijie (刘世界), LI Chunlai (李春来), WANG Jianyu (王建宇). Rethinking the Dice Loss for Deep Learning Lesion Segmentation in Medical Images[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(1): 93-102. |
| [8] | CAI Qinyi (蔡沁怡), MI Yiqun (宓轶群), CHU Zhaowu (储昭武), ZHENG Yuanyi (郑元义), CHEN Fang. Demand Analysis and Management Suggestion: Sharing Epidemiological Data Among Medical Institutions in Megacities for Epidemic Prevention and Control[J]. J Shanghai Jiaotong Univ Sci, 2020, 25(2): 137-139. |
| [9] | 胡晓强，仲训昱，张霄力，彭侠夫，何荧. 基于支持向量机辅助的四轴陀螺两级故障诊断方法[J]. 上海交通大学学报, 2020, 54(11): 1151-1156. |
| [10] | FAN Jihua (范纪华), ZHANG Dingguo (章定国), SHEN Hong (谌宏). Discretization Methods of a Rotating Flexible Rectangular Thin Plate[J]. Journal of Shanghai Jiao Tong University (Science), 2020, 25(1): 118-126. |
| [11] | 高家宝;许昕;潘宏侠;付志敏;. 基于信息熵与神经网络的供输弹系统早期故障诊断[J]. 机械设计与研究, 2020, 36(02): 181-184+188. |
| [12] | 赵璐;许昕;潘宏侠;付志敏;高家宝;. 基于信息熵与信息融合的供输弹系统故障诊断研究[J]. 机械设计与研究, 2020, 36(01): 169-172. |
| [13] | ZHANG Shuo (张硕), LIAO Chencong* (廖晨聪), ZHANG Qi (张琪), ZHEN Liang (甄亮). Elastoplastic Model for Soils Considering Structure and Overconsolidation[J]. Journal of Shanghai Jiao Tong University (Science), 2019, 24(2): 196-203. |
| [14] | KHUSHIK Muhammad Hanif Ahmed Khan, JIANG Chun *(姜淳) . Gain Properties of Triply-Doped Graphene-Insulator-Graphene Nanosheet Waveguide[J]. Journal of Shanghai Jiao Tong University (Science), 2019, 24(1): 7-11. |
| [15] | 张龙;宋成洋;邹友军;崔路瑶;雷兵;. 基于VMD多特征融合与PSO-SVM的滚动轴承故障诊断[J]. 机械设计与研究, 2019, 35(06): 96-104. |
| 阅读次数 | ||||||
|
全文 |
|
|||||
|
摘要 |
|
|||||