当前位置: X-MOL 学术Measurement › 论文详情
Iterative Matching Synchrosqueezing Transform and Application to Rotating Machinery Fault Diagnosis Under Nonstationary Conditions
Measurement ( IF 3.364 ) Pub Date : 2020-10-16 , DOI: 10.1016/j.measurement.2020.108592
Zehui Hua; Juanjuan Shi; Yang Luo; Weiguo Huang; Jun Wang; Zhongkui Zhu

Synchrosqueezing transform (SST) and its advanced version matching SST have been widely used for rotating machinery fault diagnosis. However, the short-time Fourier transform (STFT) based matching SST suffers from extra time-frequency blurriness when the analyzed signal is strongly time-varying and contaminated by noise. A novel method called iterative matching Synchrosqueezing transform is, therefore, proposed by iteratively applying reassignment operations to address the smearing problem of time-frequency representation (TFR). The capability of the proposed method in increasing the readability of TFR is mathematically analyzed. The signal reconstruction is also derived and realized by detecting instantaneous frequency (IF) ridges from the improved TFR. Analyzing results of simulated and experimental signals show that the proposed method could further sharpen the IF ridges and improve the TFR readability. The detailed IF features of vibrations can then be easily identified on the TFRs of the proposed method for rotating machinery fault diagnosis.

更新日期:2020-10-17

 

全部期刊列表>>
spring&清华大学出版社
城市可持续发展前沿研究专辑
Springer 纳米技术权威期刊征稿
全球视野覆盖
施普林格·自然新
chemistry
3分钟学术视频演讲大赛
物理学研究前沿热点精选期刊推荐
自然职位线上招聘会
欢迎报名注册2020量子在线大会
化学领域亟待解决的问题
材料学研究精选新
GIANT
ACS ES&T Engineering
ACS ES&T Water
屿渡论文,编辑服务
ACS Publications填问卷
阿拉丁试剂right
麻省大学
西北大学
湖南大学
华东师范大学
陆海华
化学所
隐藏1h前已浏览文章
课题组网站
新版X-MOL期刊搜索和高级搜索功能介绍
ACS材料视界
天合科研
x-mol收录
胡眆昊
杨财广
廖矿标
试剂库存
down
wechat
bug